Adding Conditional Control to Text-to-Image Diffusion Models

U-Net: Convolutional Networks for Biomedical Image Segmentation

Ronneberger, O., Fischer, P., & Brox, T. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_28 · Cited by 99,404 · see citing works

Deep learning

LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126 · see citing works

Gradient-based learning applied to document recognition

Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998) · Proceedings of the IEEE · doi:10.1109/5.726791 · Cited by 58,805 · see citing works

Learning representations by back-propagating errors

Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986) · Nature · doi:10.1038/323533a0 · Cited by 31,892 · see citing works

A Computational Approach to Edge Detection

Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004 · see citing works

Unpaired image-to-image translation using cycle-consistent adversarial networks

Zhu, J.-Y., Park, T., Isola, P., & Efros, A. A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.244 · Cited by 23,602 · see citing works

Image-to-Image Translation with Conditional Adversarial Networks

Isola, P., Zhu, J.-Y., Zhou, T., & Efros, A. A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.632 · Cited by 22,930 · see citing works

High-Resolution Image Synthesis with Latent Diffusion Models

Rombach, R., Blattmann, A., Lorenz, D., Esser, P., & Ommer, B. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.01042 · Cited by 15,880 · see citing works

Learning Transferable Visual Models From Natural Language Supervision

Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al. (2021) · arXiv · doi:10.48550/arxiv.2103.00020 · Cited by 15,293 · see citing works

Advances in Neural Information Processing Systems 29

Teymur, O., Zygalakis, K., & Calderhead, B. (2016) · Cited by 13,881 · see citing works

Proceedings of the 24th international conference on Machine learning

(2007) · doi:10.1145/1273496 · Cited by 11,869 · see citing works

A Style-Based Generator Architecture for Generative Adversarial Networks

Karras, T., Laine, S., & Aila, T. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00453 · Cited by 11,714 · see citing works

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., & Hochreiter, S. (2017) · arXiv · doi:10.48550/arxiv.1706.08500 · Cited by 8,365 · see citing works

OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields

Cao, Z., Hidalgo, G., Simon, T., Wei, S.-E., & Sheikh, Y. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2019.2929257 · Cited by 5,536 · see citing works

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Karras, T., Aila, T., Laine, S., & Lehtinen, J. (2017) · arXiv · doi:10.48550/arxiv.1710.10196 · Cited by 4,727 · see citing works

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Wang, T.-C., Liu, M.-Y., Zhu, J.-Y., Tao, A., Kautz, J., & Catanzaro, B. (2018) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2018.00917 · Cited by 4,514 · see citing works

StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

Choi, Y., Choi, M., Kim, M., Ha, J.-W., Kim, S., & Choo, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00916 · Cited by 4,163 · see citing works

Holistically-Nested Edge Detection

Xie, S., & Tu, Z. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.164 · Cited by 3,401 · see citing works

Diffusion Models Beat GANs on Image Synthesis

Dhariwal, P., & Nichol, A. (2021) · arXiv · doi:10.48550/arxiv.2105.05233 · Cited by 3,362 · see citing works

Scene Parsing through ADE20K Dataset

Zhou, B., Zhao, H., Puig, X., Fidler, S., Barriuso, A., & Torralba, A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.544 · Cited by 3,326 · see citing works

Semantic Image Synthesis With Spatially-Adaptive Normalization

Park, T., Liu, M.-Y., Wang, T.-C., & Zhu, J.-Y. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00244 · Cited by 2,974 · see citing works

Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Sohl-Dickstein, J., Weiss, E. A., Maheswaranathan, N., & Ganguli, S. (2015) · arXiv · doi:10.48550/arxiv.1503.03585 · Cited by 2,637 · see citing works

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Saharia, C., Chan, W., Saxena, S., Li, L., Whang, J., Denton, E., Ghasemipour, S. K. S., Ayan, B. K., Mahdavi, S. S., Lopes, R. G., et al. (2022) · arXiv · doi:10.48550/arxiv.2205.11487 · Cited by 2,528 · see citing works

LoRA: Low-Rank Adaptation of Large Language Models

Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., & Chen, W. (2021) · arXiv · doi:10.48550/arxiv.2106.09685 · Cited by 2,523 · see citing works

Taming Transformers for High-Resolution Image Synthesis

Esser, P., Rombach, R., & Ommer, B. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.01268 · Cited by 2,514 · see citing works

Hierarchical Text-Conditional Image Generation with CLIP Latents

Ramesh, A., Dhariwal, P., Nichol, A., Chu, C., & Chen, M. (2022) · arXiv · doi:10.48550/arxiv.2204.06125 · Cited by 2,511 · cited 2× · see citing works

Zero-shot text-to-image generation

Ramesh, A., Pavlov, M., Goh, G., Gray, S., Voss, C., Radford, A., Chen, M., & Sutskever, I. (2021) · arXiv · doi:10.48550/arxiv.2102.12092 · Cited by 2,417 · see citing works

Pre-Trained Image Processing Transformer

Chen, H., Wang, Y., Guo, T., Xu, C., Deng, Y., Liu, Z., Ma, S., Xu, C., Xu, C., & Gao, W. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.01212 · Cited by 2,308 · see citing works

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Ruiz, N., Li, Y., Jampani, V., Pritch, Y., Rubinstein, M., & Aberman, K. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52729.2023.02155 · Cited by 2,295 · see citing works

Parameter-efficient transfer learning for NLP

Houlsby, N., Giurgiu, A., Jastrzebski, S., Morrone, B., de Laroussilhe, Q., Gesmundo, A., Attariyan, M., & Gelly, S. (2019) · arXiv · doi:10.48550/arxiv.1902.00751 · Cited by 2,270 · see citing works

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer

Ranftl, R., Lasinger, K., Hafner, D., Schindler, K., & Koltun, V. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2020.3019967 · Cited by 2,047 · see citing works

Palette: Image-to-Image Diffusion Models

Saharia, C., Chan, W., Chang, H., Lee, C., Ho, J., Salimans, T., Fleet, D., & Norouzi, M. (2022) · Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings · doi:10.1145/3528233.3530757 · Cited by 1,717 · see citing works

Improved Denoising Diffusion Probabilistic Models

Nichol, A., & Dhariwal, P. (2021) · arXiv · doi:10.48550/arxiv.2102.09672 · Cited by 1,550 · see citing works

Instructpix2pix: Learning to follow image editing instructions

Brooks, T., Holynski, A., & Efros, A. A. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52729.2023.01764 · Cited by 1,466 · see citing works

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Nichol, A., Dhariwal, P., Ramesh, A., Shyam, P., Mishkin, P., McGrew, B., Sutskever, I., & Chen, M. (2021) · arXiv · doi:10.48550/arxiv.2112.10741 · Cited by 1,357 · see citing works

CLIP-Adapter: Better Vision-Language Models with Feature Adapters

Gao, P., Geng, S., Zhang, R., Ma, T., Fang, R., Zhang, Y., Li, H., & Qiao, Y. (2023) · International Journal of Computer Vision · doi:10.1007/s11263-023-01891-x · Cited by 1,341 · see citing works

PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Mallya, A., & Lazebnik, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00810 · Cited by 1,258 · see citing works

Toward Multimodal Image-to-Image TranslationPreprint

Zhu, J.-Y., Zhang, R., Pathak, D., Darrell, T., Efros, A. A., Wang, O., & Shechtman, E. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1711.11586 · Cited by 1,159 · see citing works

Classifier-Free Diffusion Guidance

Ho, J., & Salimans, T. (2022) · arXiv · doi:10.48550/arxiv.2207.12598 · Cited by 1,126 · see citing works

Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation

Richardson, E., Alaluf, Y., Patashnik, O., Nitzan, Y., Azar, Y., Shapiro, S., & Cohen‐Or, D. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00232 · Cited by 1,120 · see citing works

StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

Patashnik, O., Wu, Z., Shechtman, E., Cohen‐Or, D., & Lischinski, D. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00209 · Cited by 1,079 · see citing works

T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models

Mou, C., Wang, X., Xie, L., Wu, Y., Zhang, J., Qi, Z., & Shan, Y. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i5.28226 · Cited by 1,026 · see citing works

Vision Transformer Adapter for Dense PredictionsPreprint

Chen, Z., Duan, Y., Wang, W., He, J.-J., Lu, T., Dai, J.-F., & Qiao, Y. (2022) · International Conference on Learning Representations · doi:10.48550/arxiv.2205.08534 · Cited by 959 · see citing works

Exploring Plain Vision Transformer Backbones for Object Detection

Li, Y., Mao, H., Girshick, R., & He, K. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-20077-9_17 · Cited by 903 · see citing works

Imagic: Text-Based Real Image Editing with Diffusion Models

Kawar, B., Zada, S., Lang, O., Tov, O., Chang, H., Dekel, T., Mosseri, I., & Irani, M. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.00582 · Cited by 813 · see citing works

Blended Diffusion for Text-driven Editing of Natural Images

Avrahami, O., Lischinski, D., & Fried, O. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.01767 · Cited by 799 · see citing works

High-Resolution Image Synthesis with Latent Diffusion Models

Rombach, R., Blattmann, A., Lorenz, D., Esser, P., & Ommer, B. (2021) · arXiv · doi:10.48550/arxiv.2112.10752 · Cited by 737 · see citing works

Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

Mallya, A., Davis, D., & Lazebnik, S. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01225-0_5 · Cited by 644 · see citing works

Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation

Tumanyan, N., Geyer, M., Bagon, S., & Dekel, T. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.00191 · Cited by 644 · see citing works

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Gal, R., Alaluf, Y., Atzmon, Y., Patashnik, O., Bermano, A. H., Chechik, G., & Cohen-Or, D. (2022) · arXiv · doi:10.48550/arxiv.2208.01618 · Cited by 611 · see citing works

GLIGEN: Open-Set Grounded Text-to-Image Generation

Li, Y., Liu, H., Wu, Q., Mu, F., Yang, J., Gao, J., Li, C., & Lee, Y. J. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.02156 · Cited by 610 · see citing works

Measuring the Intrinsic Dimension of Objective LandscapesPreprint

Li, C.-Y., Farkhoor, H., Liu, R., & Yosinski, J. (2018) · International Conference on Learning Representations · doi:10.48550/arxiv.1804.08838 · Cited by 607 · see citing works

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation

Kim, G., Kwon, T., & Ye, J. C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.00246 · Cited by 570 · see citing works

Overcoming catastrophic forgetting with hard attention to the taskPreprint

Serr\`a, J., Surís, D., Miron, M., & Karatzoglou, A. (2018) · arXiv (Cornell University) · Cited by 564 · see citing works

OneFormer: One Transformer to Rule Universal Image Segmentation

Jain, J., Li, J., Chiu, M. T., Hassani, A., Orlov, N., & Shi, H. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.00292 · Cited by 550 · see citing works

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential EquationsPreprint

Meng, C., He, Y., Song, Y., Song, J., Wu, J., Zhu, J.-Y., & Ermon, S. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2108.01073 · Cited by 528 · see citing works

StyleGAN-NADA

Gal, R., Patashnik, O., Maron, H., Bermano, A. H., Chechik, G., & Cohen‐Or, D. (2022) · ACM Transactions on Graphics · doi:10.1145/3528223.3530164 · Cited by 503 · see citing works

Prompt-to-Prompt Image Editing with Cross Attention ControlPreprint

Hertz, A., Mokady, R., Tenenbaum, J., Aberman, K., Pritch, Y., & Cohen‐Or, D. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2208.01626 · Cited by 496 · see citing works

Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Aghajanyan, A., Gupta, S., & Zettlemoyer, L. (2021) · doi:10.18653/v1/2021.acl-long.568 · Cited by 429 · see citing works

Zero-shot Image-to-Image Translation

Parmar, G., Singh, K. K., Zhang, R., Li, Y., Lu, J., & Zhu, J.-Y. (2023) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/3588432.3591513 · Cited by 383 · see citing works

Variational Diffusion Models

Kingma, D. P., Salimans, T., Poole, B., & Ho, J. (2021) · arXiv · doi:10.48550/arxiv.2107.00630 · Cited by 374 · see citing works

Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Gafni, O., Polyak, A., Ashual, O., Sheynin, S., Parikh, D., & Taigman, Y. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19784-0_6 · Cited by 345 · see citing works

VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks

Sung, Y.-L., Cho, J., & Bansal, M. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.00516 · Cited by 329 · see citing works

Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language ModelingPreprint

Zhang, R., Fang, R., Zhang, W., Gao, P., Li, K., Dai, J., Qiao, Y., & Li, H. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.03930 · Cited by 285 · see citing works

HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing

Alaluf, Y., Tov, O., Mokady, R., Gal, R., & Bermano, A. H. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.01796 · Cited by 270 · see citing works

Incremental Learning Through Deep Adaptation

Rosenfeld, A., & Tsotsos, J. K. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2884462 · Cited by 260 · see citing works

Cross-Domain Correspondence Learning for Exemplar-Based Image Translation

Zhang, P., Zhang, B., Chen, D., Yuan, L., & Wen, F. (2020) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr42600.2020.00519 · Cited by 255 · see citing works

Sketch-Guided Text-to-Image Diffusion Models

Voynov, A. S., Aberman, K., & Cohen‐Or, D. (2023) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/3588432.3591560 · Cited by 191 · see citing works

Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks

Zhang, J. O., (Sasha), A. S., Zamir, A., Guibas, L. J., & Malik, J. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58580-8_41 · Cited by 190 · see citing works

SpaText: Spatio-Textual Representation for Controllable Image Generation

Avrahami, O., Hayes, T., Gafni, O., Gupta, S., Taigman, Y., Parikh, D., Lischinski, D., Fried, O., & Yin, X. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.01762 · Cited by 171 · see citing works

DIODE: A Dense Indoor and Outdoor DEpth DatasetPreprint

Vasiljevic, I., Kolkin, N., Zhang, S., Luo, R., Wang, H., Dai, F. Z., Daniele, A. F., Mostajabi, M., Basart, S., Walter, M. R., et al. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1908.00463 · Cited by 169 · see citing works

Only a matter of style

Alaluf, Y., Patashnik, O., & Cohen‐Or, D. (2021) · ACM Transactions on Graphics · doi:10.1145/3450626.3459805 · Cited by 161 · see citing works

Pretraining is All You Need for Image-to-Image TranslationPreprint

Wang, T., Zhang, T., Zhang, B., Ouyang, H., Chen, D., Chen, Q., & Wen, F. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2205.12952 · Cited by 158 · see citing works

MultiDiffusion: Fusing Diffusion Paths for Controlled Image GenerationPreprint

Bar-Tal, O., Yariv, L., Lipman, Y., & Dekel, T. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2302.08113 · Cited by 137 · see citing works

Composer: Creative and Controllable Image Synthesis with Composable ConditionsPreprint

Huang, L., Chen, D., Liu, Y., Shen, Y., Zhao, D., & Zhou, J. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2302.09778 · Cited by 120 · see citing works

HyperInverter: Improving StyleGAN Inversion via Hypernetwork

Dinh, T. M., Tran, A. T., Nguyen, R. M. H., & Hua, B. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.01110 · Cited by 117 · see citing works

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

Zhou, X., Zhang, B., Zhang, T., Zhang, P., Bao, J., Chen, D., Zhang, Z. M., & Wen, F. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.01130 · Cited by 116 · see citing works

BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task LearningPreprint

Stickland, A. C., & Murray, I. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.02671 · Cited by 109 · see citing works

Towards Light-Weight and Real-Time Line Segment Detection

Gu, G., Ko, B., Go, S., Lee, S., Lee, J., & Shin, M. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v36i1.19953 · Cited by 104 · see citing works

Benchmarking Detection Transfer Learning with Vision TransformersPreprint

Li, Y., Xie, S., Chen, X., Dollár, P., He, K., & Girshick, R. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.11429 · Cited by 89 · see citing works

MyStyle

Nitzan, Y., Aberman, K., He, Q., Liba, O., Yarom, M., Gandelsman, Y., Mosseri, I., Pritch, Y., & Cohen‐Or, D. (2022) · ACM Transactions on Graphics · doi:10.1145/3550454.3555436 · Cited by 73 · see citing works

MaskSketch: Unpaired Structure-guided Masked Image Generation

Bashkirova, D., Lezama, J., Sohn, K., Saenko, K., & Essa, I. A. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.00187 · Cited by 32 · see citing works

Self-Distilled StyleGAN: Towards Generation from Internet Photos

Mokady, R., Tov, O., Yarom, M., Lang, O., Mosseri, I., Dekel, T., Cohen‐Or, D., & Irani, M. (2022) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/3528233.3530708 · Cited by 29 · see citing works

Region-Aware Diffusion for Zero-shot Text-driven Image EditingPreprint

Huang, N., Tang, F., Dong, W., Lee, T., & Xu, C. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2302.11797 · Cited by 16 · see citing works

Multi-level Latent Space Structuring for Generative ControlPreprint

Katzir, O., Perepelook, V., Lischinski, D., & Cohen‐Or, D. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2202.05910 · Cited by 3 · see citing works

ZerO Initialization: Initializing Residual Networks with only Zeros and Ones

Zhao, J., Schäfer, F., & Anandkumar, A. (2021) · CaltechAUTHORS (California Institute of Technology) · Cited by 3 · see citing works

Diffusion Models: A Comprehensive Survey of Methods and Applications

Yang, L., Zhang, Z., Song, Y., Hong, S., Xu, R., Zhao, Y., Zhang, W., Cui, B., & Yang, M.-H. (2024) · ACM Computing Surveys · doi:10.1145/3626235 · Cited by 1,704 · see citing works

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Yang, L., Kang, B., Huang, Z., Xu, X., Feng, J., & Zhao, H. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52733.2024.00987 · Cited by 1,296 · see citing works

T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models

Mou, C., Wang, X., Xie, L., Wu, Y., Zhang, J., Qi, Z., & Shan, Y. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i5.28226 · Cited by 1,026 · see citing works

A Survey on Generative Diffusion Models

Cao, H., Tan, C., Gao, Z., Xu, Y., Chen, G., Heng, P., & Li, S. Z. (2024) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2024.3361474 · Cited by 679 · see citing works

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

Wu, J. Z., Ge, Y., Wang, X., Lei, S. W., Gu, Y., Shi, Y., Hsu, W., Shan, Y., Qie, X., & Shou, M. Z. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00701 · Cited by 622 · see citing works

A generative model for inorganic materials design

Zeni, C., Pinsler, R., Zügner, D., Fowler, A., Horton, M., Fu, X., Wang, Z., Shysheya, A., Crabbé, J., Ueda, S., et al. (2025) · Nature · doi:10.1038/s41586-025-08628-5 · Cited by 518 · see citing works

Exploiting Diffusion Prior for Real-World Image Super-Resolution

Wang, J., Yue, Z., Zhou, S., Chan, K. C. K., & Loy, C. C. (2024) · International Journal of Computer Vision · doi:10.1007/s11263-024-02168-7 · Cited by 488 · see citing works

MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing

Cao, M., Wang, X., Qi, Z., Shan, Y., Qie, X., & Zheng, Y. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.02062 · Cited by 443 · see citing works

Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

Ke, B., Obukhov, A., Huang, S., Metzger, N., Daudt, R. C., & Schindler, K. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00907 · Cited by 444 · see citing works

Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators

Khachatryan, L., Movsisyan, A., Tadevosyan, V., Henschel, R. D., Wang, Z., Navasardyan, S., & Shi, H. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01462 · Cited by 426 · see citing works

A Survey on Multimodal Large Language Models for Autonomous Driving

Cui, C., Ma, Y., Cao, X., Ye, W., Zhou, Y., Liang, K., Chen, J., Lu, J., Yang, Z., Liao, K.-D., et al. (2024) · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) · doi:10.1109/wacvw60836.2024.00106 · Cited by 369 · see citing works

Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering

Oppenlaender, J., Linder, R., & Silvennoinen, J. M. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2431761 · Cited by 308 · see citing works

Lightweight Deep Learning for Resource-Constrained Environments: A Survey

Liu, H.-I., Galindo, M., Xie, H., Wong, L.-K., Shuai, H.-H., Li, Y., & Cheng, W.-H. (2024) · ACM Computing Surveys · doi:10.1145/3657282 · Cited by 296 · see citing works

Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

Wang, S., Liu, Y., Wang, T., Li, Y., & Zhang, X. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00335 · Cited by 292 · see citing works

Proceedings of the 32nd ACM International Conference on Multimedia

Pan, Q., Zhao, Z. W., Wang, Z., Long, S., Wu, Y., Ji, W., Liang, H., & Liang, R. (2024) · doi:10.1145/3664647 · Cited by 290 · see citing works

DiffBIR: Toward Blind Image Restoration with Generative Diffusion Prior

Lin, X., He, J., Chen, Z., Lyu, Z., Dai, B., Yu, F., Qiao, Y., Ouyang, W., & Dong, C. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73202-7_25 · Cited by 283 · see citing works

On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)

Mai, G., Huang, W., Sun, J., Song, S., Mishra, D. R., Liu, N., Gao, S., Liu, T., Cong, G., Hu, Y., et al. (2024) · ACM Transactions on Spatial Algorithms and Systems · doi:10.1145/3653070 · Cited by 275 · see citing works

Recent advances in 3D Gaussian splatting

Wu, T., Yuan, Y.-J., Zhang, L., Yang, J., Cao, Y., Yan, L., & Gao, L. (2024) · Computational Visual Media · doi:10.1007/s41095-024-0436-y · Cited by 270 · see citing works

FateZero: Fusing Attentions for Zero-shot Text-based Video Editing

Qi, C., Cun, X., Zhang, Y., Lei, C., Wang, X., Shan, Y., & Chen, Q. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01460 · Cited by 256 · see citing works

The Stable Signature: Rooting Watermarks in Latent Diffusion Models

Fernandez, P., Couairon, G., Jégou, H., Douze, M., & Furon, T. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.02053 · Cited by 251 · see citing works

Effective Whole-body Pose Estimation with Two-stages Distillation

Yang, Z., Zeng, A., Yuan, C., & Li, Y. (2023) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw60793.2023.00455 · Cited by 242 · see citing works

A Diffusion-Based Framework for Multi-Class Anomaly Detection

He, H., Zhang, J., Chen, H., Chen, X., Li, Z., Chen, X., Wang, Y., Wang, C., & Xie, L. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i8.28690 · Cited by 242 · see citing works

Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Li, C., Gan, Z., Yang, Z., Yang, J., Li, L., Wang, L., & Gao, J. (2024) · Foundations and Trends® in Computer Graphics and Vision · doi:10.1561/0600000110 · Cited by 225 · see citing works

SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

Wu, R., Yang, T., Sun, L., Zhang, Z., Li, S., & Zhang, L. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.02405 · Cited by 223 · see citing works

SVDiff: Compact Parameter Space for Diffusion Fine-Tuning

Han, L., Li, Y., Zhang, H., Milanfar, P., Metaxas, D., & Yang, F. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00673 · Cited by 224 · see citing works

LaVie: High-Quality Video Generation with Cascaded Latent Diffusion Models

Wang, Y., Chen, X., Ma, X., Zhou, S., Huang, Z., Yang, C., Yang, C., He, Y., Yu, J., Yang, P., et al. (2024) · International Journal of Computer Vision · doi:10.1007/s11263-024-02295-1 · Cited by 218 · see citing works

ECON: Explicit Clothed humans Optimized via Normal integration

Xiu, Y., Yang, J., Cao, X., Tzionas, D., & Black, M. J. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.00057 · Cited by 206 · see citing works

Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models

Brade, S., Wang, B. K., Sousa, M., Oore, S., & Grossman, T. (2023) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3586183.3606725 · Cited by 198 · see citing works

Generative AI models for different steps in architectural design: A literature review

Li, C., Zhang, T., Du, X., Zhang, Y., & Xie, H. (2024) · Frontiers of Architectural Research · doi:10.1016/j.foar.2024.10.001 · Cited by 198 · see citing works

InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning

Shi, J., Xiong, W., Lin, Z., & Jung, H. J. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00816 · Cited by 192 · see citing works

FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention

Xiao, G., Yin, T., Freeman, W. T., Durand, F., & Han, S. (2024) · International Journal of Computer Vision · doi:10.1007/s11263-024-02227-z · Cited by 189 · see citing works

Parameter-efficient fine-tuning in large language models: a survey of methodologies

Wang, L., Chen, S., Jiang, L., Pan, S., Cai, R., Yang, S., & Yang, F. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-025-11236-4 · Cited by 186 · see citing works

Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

Li, H. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00779 · Cited by 184 · see citing works

DriveDreamer: Towards Real-World-Drive World Models for Autonomous Driving

Wang, X., Zhu, Z. H., Huang, G., Chen, X., Zhu, J., & Lu, J. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73195-2_4 · Cited by 184 · see citing works

MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

Xu, Z., Zhang, J., Liew, J. H., Yan, H., Liu, J., Zhang, C., Feng, J., & Shou, M. Z. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00147 · Cited by 182 · see citing works

Training-Free Layout Control with Cross-Attention Guidance

Chen, M., Laina, I., & Vedaldi, A. (2024) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv57701.2024.00526 · Cited by 180 · see citing works

Text2Tex: Text-driven Texture Synthesis via Diffusion Models

Chen, D. Z., Siddiqui, Y., Lee, H.-Y., Tulyakov, S., & Nießner, M. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01701 · Cited by 178 · see citing works

All-in-One Weather-Degraded Image Restoration Via Adaptive Degradation-Aware Self-Prompting Model

Wen, Y., Gao, T., Li, Z., Zhang, J., Zhang, K., & Chen, T. (2025) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2025.3535316 · Cited by 178 · see citing works

Pix2Video: Video Editing using Image Diffusion

Ceylan, D., Huang, C.-H. P., & Mitra, N. J. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.02121 · Cited by 174 · see citing works

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion

Xie, J., Li, Y., Huang, Y., Liu, H., Zhang, W., Zheng, Y., & Shou, M. Z. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00685 · Cited by 174 · see citing works

CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets

Zhang, L., Wang, Z., Zhang, Q., Qiu, Q., Pang, A., Jiang, H., Yang, W., Xu, L., & Jingyi Yu, A. (2024) · ACM Transactions on Graphics · doi:10.1145/3658146 · Cited by 173 · see citing works

Semantic Image Synthesis via Diffusion Models

Zhou, W., Wang, W., Bao, J., Chen, D., Chen, D., Yuan, L., & Li, H. (2026) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2026.3680594 · Cited by 170 · see citing works

Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey

Li, X., Ren, Y., Jin, X., Lan, C., Wang, X., Zeng, W., Wang, X., & Chen, Z. (2025) · International Journal of Computer Vision · doi:10.1007/s11263-025-02570-9 · Cited by 170 · see citing works

Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models

Höllein, L., Cao, A., Owens, A., Johnson, J., & Nießner, M. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00727 · Cited by 167 · see citing works

DreamBooth3D: Subject-Driven Text-to-3D Generation

Raj, A., Kaza, S., Poole, B., Niemeyer, M., Ruiz, N., Mildenhall, B., Zada, S., Aberman, K., Rubinstein, M., Barron, J. T., et al. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00223 · Cited by 167 · see citing works

Diffusion Model-Based Image Editing: A Survey

Huang, Y., Huang, J., Liu, Y., Yan, M., Lv, J., Liu, J., Xiong, W., Zhang, H., Cao, L., & Chen, S. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3541625 · Cited by 168 · see citing works

Evaluating the subjective perceptions of streetscapes using street-view images

Ogawa, Y., Oki, T., Zhao, C., Sekimoto, Y., & Shimizu, C. (2024) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2024.105073 · Cited by 165 · see citing works

Multimodal Image Synthesis and Editing: The Generative AI Era

Zhan, F., Yu, Y., Wu, R., Zhang, J., Lu, S., Liu, L., Kortylewski, A., Theobalt, C., & Xing, E. P. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2023.3305243 · Cited by 162 · see citing works

PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding

Li, Z., Cao, M., Wang, X., Qi, Z., Cheng, M., & Shan, Y. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00825 · Cited by 161 · see citing works

Lumiere: A Space-Time Diffusion Model for Video Generation

Bar-Tal, O., Chefer, H., Tov, O., Herrmann, C., Paiss, R., Zada, S., Ephrat, A., Hur, J., Liu, G., Raj, A., et al. (2024) · SIGGRAPH Asia Conference Papers · doi:10.1145/3680528.3687614 · Cited by 161 · see citing works

A Survey on Video Diffusion Models

Xing, Z., Feng, Q., Chen, H., Dai, Q., Hu, H., Xu, H., Wu, Z., & Jiang, Y. (2024) · ACM Computing Surveys · doi:10.1145/3696415 · Cited by 160 · see citing works

FreeU: Free Lunch in Diffusion U-Net

Si, C., Huang, Z., Jiang, Y., & Liu, Z. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00453 · Cited by 158 · see citing works

Zero-Reference Low-Light Enhancement via Physical Quadruple Priors

Wang, W., Yang, H., Fu, J., & Liu, J. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.02462 · Cited by 159 · see citing works

State of the Art on Diffusion Models for Visual Computing

Po, R., Yifan, W., Golyanik, V., Aberman, K., Barron, J. T., Bermano, A. H., Chan, E. R., Dekel, T., Holynski, A., Kanazawa, A., et al. (2024) · Computer Graphics Forum · doi:10.1111/cgf.15063 · Cited by 157 · see citing works

Generative-AI-Driven Human Digital Twin in IoT Healthcare: A Comprehensive Survey

Chen, J., Shi, Y., Yi, C., Du, H., Kang, J., & Niyato, D. T. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3421918 · Cited by 155 · see citing works

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models

Ruiz, N., Li, Y., Jampani, V., Wei, W., Hou, T., Pritch, Y., Wadhwa, N., Rubinstein, M., & Aberman, K. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00624 · Cited by 155 · see citing works

Style Aligned Image Generation via Shared Attention

Hertz, A., Voynov, A. S., Fruchter, S., & Cohen‐Or, D. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00457 · Cited by 153 · see citing works

Follow Your Pose: Pose-Guided Text-to-Video Generation Using Pose-Free Videos

Ma, Y., He, Y., Cun, X., Wang, X., Chen, S., Li, X., & Chen, Q. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i5.28206 · Cited by 153 · see citing works

MotionCtrl: A Unified and Flexible Motion Controller for Video Generation

Wang, Z., Yuan, Z., Wang, X., Li, Y., Chen, T., Xia, M., Luo, P., & Shan, Y. (2024) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/3641519.3657518 · Cited by 153 · see citing works

Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation

Yang, S., Zhou, Y., Liu, Z., & Loy, C. C. (2023) · SIGGRAPH Asia Conference Papers · doi:10.1145/3610548.3618160 · Cited by 151 · see citing works

Versatile Diffusion: Text, Images and Variations All in One Diffusion Model

Xu, X., Wang, Z., Zhang, E., Wang, K., & Shi, H. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00713 · Cited by 150 · see citing works

Ablating Concepts in Text-to-Image Diffusion Models

Kumari, N., Zhang, B., Wang, S.-Y., Shechtman, E., Zhang, R., & Zhu, J.-Y. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.02074 · Cited by 150 · see citing works

Generative AI for visualization: State of the art and future directions

Ye, Y., Hao, J., Hou, Y., Wang, Z., Xiao, S., Luo, Y., & Zeng, W. (2024) · Visual Informatics · doi:10.1016/j.visinf.2024.04.003 · Cited by 147 · see citing works

LLMR: Real-time Prompting of Interactive Worlds using Large Language Models

Torre, F. D. L., Fang, C. M., Huang, H., Banburski, A., Amores, J., & Lanier, J. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642579 · Cited by 145 · see citing works

LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching

Liang, Y., Yang, X., Lin, J., Li, H., Xu, X., & Chen, Y.-C. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00623 · Cited by 147 · see citing works

Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization

Yang, T., Wu, R., Ren, P., Xie, X., & Lei Zhang, A. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73247-8_5 · Cited by 144 · see citing works

3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities

Bao, Y., Ding, T., Huo, J., Liu, Y., Li, Y., Li, W., Gao, Y., & Luo, J. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3538684 · Cited by 142 · see citing works

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)

Deldjoo, Y., He, Z., McAuley, J., Korikov, A., Sanner, S., Arnau Ramisa, A., Vidal, R., Sathiamoorthy, M., Kasirzadeh, A., & Milano, S. (2024) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3637528.3671474 · Cited by 142 · see citing works

PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation

Feng, Y., Wang, X., Kam-Kwai, W., Wang, S., Lu, Y., Zhu, M., Wang, B., & Chen, W. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3327168 · Cited by 140 · see citing works

A comprehensive survey on deep active learning in medical image analysis

Wang, H., Jin, Q., Li, S., Liu, S., Wang, M., & Song, Z. (2024) · Medical Image Analysis · doi:10.1016/j.media.2024.103201 · Cited by 139 · see citing works

Sapiens: Foundation for Human Vision Models

Khirodkar, R., Bagautdinov, T., Martinez, J., Zhaoen, S., James, A., Selednik, P., Anderson, S., & Saito, S. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73235-5_12 · Cited by 139 · see citing works

Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models

Ge, S., Nah, S., Liu, G., Poon, T., Tao, A., Catanzaro, B., Jacobs, D. W., Huang, J., Liu, M.-Y., & Balaji, Y. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.02096 · Cited by 138 · see citing works

DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion

Karras, J., Holynski, A., Wang, T.-C., & Kemelmacher-Shlizerman, I. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.02073 · Cited by 137 · see citing works

Advances in deep concealed scene understanding

Fan, D.-P., Ji, G.-P., Xu, P., Cheng, M., Sakaridis, C., & Gool, L. V. (2023) · Visual Intelligence · doi:10.1007/s44267-023-00019-6 · Cited by 137 · see citing works

Diffusion Augmentation for Sequential Recommendation

Liu, Q., Fan, Y. B., Zhao, X., Du, Z., Guo, H., Tang, R., & Tian, F. (2023) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3583780.3615134 · Cited by 137 · see citing works

FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model

Yu, J., Wang, Y., Zhao, C., Ghanem, B., & Zhang, J. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.02118 · Cited by 131 · see citing works

DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models

Cao, Y., Cao, Y., Han, K., Shan, Y., & Wong, K.-Y. K. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00097 · Cited by 130 · see citing works

Stable VITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On

Kim, J., Gu, G., Park, M.-H., Park, S., & Choo, J. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00781 · Cited by 131 · see citing works

CreativeConnect: Supporting Reference Recombination for Graphic Design Ideation with Generative AI

Choi, D., Hong, S., Park, J., Chung, J. J. Y., & Kim, J. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642794 · Cited by 124 · see citing works

From Matching to Generation: A Survey on Generative Information Retrieval

Li, X., Jin, J., Zhou, Y., Zhang, Y., Zhang, P., Zhu, Y., & Dou, Z. (2025) · ACM Transactions on Information Systems · doi:10.1145/3722552 · Cited by 124 · see citing works

StableVideo: Text-driven Consistency-aware Diffusion Video Editing

Chai, W., Guo, X., Wang, G., & Lu, Y. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.02106 · Cited by 122 · see citing works

Evaluating Text-to-Visual Generation with Image-to-Text Generation

Lin, Z., Pathak, D., Li, B., Li, J., Xia, X., Neubig, G., Zhang, P., & Ramanan, D. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72673-6_20 · Cited by 124 · see citing works

Diffusion Models, Image Super-Resolution, and Everything: A Survey

Moser, B. B., Shanbhag, A. S., Raue, F., Frolov, S., Palacio, S., & Dengel, A. (2025) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2024.3476671 · Cited by 117 · see citing works

On the design fundamentals of diffusion models: A survey

Chang, Z., Koulieris, G. A., Chang, H. J., & Shum, H. P. H. (2025) · Pattern Recognition · doi:10.1016/j.patcog.2025.111934 · Cited by 117 · see citing works

Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook

Zou, X., Yan, Y., Hao, X., Hu, Y., Wen, H., Liu, E., Zhang, J., Li, Y., Li, T., Zheng, Y., et al. (2024) · Information Fusion · doi:10.1016/j.inffus.2024.102606 · Cited by 117 · see citing works

Dense Text-to-Image Generation with Attention Modulation

Kim, Y., Lee, J., Kim, J.-H., Ha, J.-W., & Zhu, J.-Y. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00708 · Cited by 115 · see citing works

Beyond Reality: The Pivotal Role of Generative AI in the Metaverse

Chamola, V., Bansal, G., Das, T. K., Hassija, V., Sai, S., Wang, J., Zeadally, S., Hussain, A., Yu, F. R., Guizani, M., et al. (2024) · IEEE Internet of Things Magazine · doi:10.1109/iotm.001.2300174 · Cited by 108 · see citing works

EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection

Zhang, X., Li, R., Yu, J., Xu, Y., Li, W., & Zhang, J. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.01137 · Cited by 108 · see citing works

WaterCycleDiffusion: Visual–textual fusion empowered underwater image enhancement

Wang, H., Zhang, W., Xu, Y., Li, H., & Ren, P. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103693 · Cited by 108 · see citing works

Expressive 3D Facial Animation Generation Based on Local-to-Global Latent Diffusion

Song, W., Wang, X., Jiang, Y., Li, S., Hao, A., Hou, X., & Qin, H. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3456213 · Cited by 107 · see citing works

Disco: Disentangled Control for Realistic Human Dance Generation

Wang, T., Li, L., Lin, K., Zhai, Y., Lin, C.-C., Yang, Z., Zhang, H., Liu, Z., & Wang, L. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00891 · Cited by 107 · see citing works

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data

Yang, Y., Jin, M., Wen, H., Zhang, C., Liang, Y., Ma, L., Wang, Y., Liu, C., Yang, B., Xu, Z., et al. (2025) · ACM Computing Surveys · doi:10.1145/3783986 · Cited by 107 · see citing works

BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion

Ju, X., Liu, X., Wang, X., Bian, Y., Shan, Y., & Xu, Q. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72661-3_9 · Cited by 107 · see citing works

Face Generation and Editing With StyleGAN: A Survey

Melnik, A., Miasayedzenkau, M., Makaravets, D., Pirshtuk, D., Akbulut, E., Holzmann, D., Renusch, T., Reichert, G., & Ritter, H. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3350004 · Cited by 105 · see citing works

LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation

Qu, L., Wu, S., Fei, H., Nie, L., & Chua, T. (2023) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3581783.3612012 · Cited by 104 · see citing works

RoSteALS: Robust Steganography using Autoencoder Latent Space

Bui, T., Agarwal, S., Yu, N., & Collomosse, J. P. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00100 · Cited by 103 · see citing works

Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow

Gou, J., Sun, S., Zhang, J., Si, J., Qian, C., & Zhang, L. (2023) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3581783.3612255 · Cited by 102 · see citing works

PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions

Chung, J. J. Y., & Adar, E. (2023) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3586183.3606777 · Cited by 101 · see citing works

Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Choi, Y., Kwak, S., Lee, K., Choi, H., & Shin, J. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73016-0_13 · Cited by 102 · see citing works

Localizing Object-level Shape Variations with Text-to-Image Diffusion Models

Patashnik, O., Garibi, D., Azuri, I., Averbuch‐Elor, H., & Cohen‐Or, D. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.02107 · Cited by 100 · see citing works

ControlNet$$++$$: Improving Conditional Controls with Efficient Consistency Feedback

Li, M., Yang, T., Kuang, H., Wu, J., Wang, Z., Xiao, X., & Chen, C. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72667-5_8 · Cited by 60 · see citing works

Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features FeedbackPreprint

Konovalova, N., Nikolaev, M. S., Кузнецов, А. В., & Alanov, A. (2025) · arXiv (Cornell University) · doi:10.48550/arxiv.2507.02321

Simplifying Control Mechanism in Text-to-Image Diffusion Models

Feng, Z., Chen, L., Sun, Y., Liu, J., & Feng, S. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v39i3.32309 · Cited by 1 · see citing works

ECNet: Effective Controllable Text-to-Image Diffusion ModelsPreprint

Li, S., Sun, K., Lai, Z., Wu, X., Qiu, F., Xie, H., Miyata, K., & Li, H. (2024) · arXiv (Cornell University) · doi:10.48550/arxiv.2403.18417 · Cited by 4 · see citing works

Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models

Zhao, S., Chen, D., Chen, Y.-C., Bao, J., Hao, S., Yuan, L., & Wong, K.-Y. K. (2023) · neural information processing systems · doi:10.52202/075280-0491 · Cited by 155 · see citing works