Attend-and-Excite: Attention-Based Semantic Guidance for 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

Microsoft COCO: Common Objects in Context

Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., & Zitnick, C. L. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10602-1_48 · Cited by 45,460 · 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

Denoising Diffusion Probabilistic Models

Ho, J., Jain, A., & Abbeel, P. (2020) · arXiv · doi:10.48550/arxiv.2006.11239 · Cited by 8,712 · see citing works

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

Xu, T., Zhang, P., Huang, Q., Zhang, H., Gan, Z., Huang, X., & He, X. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00143 · Cited by 1,923 · see citing works

Image Generation from Scene Graphs

Johnson, J., Gupta, A., & Fei-Fei, L. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00133 · Cited by 836 · 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

DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis

Zhu, M., Pan, P., Chen, W., & Yang, Y. (2019) · 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.2019.00595 · Cited by 605 · 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

DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis

Tao, M., Tang, H., Wu, F., Jing, X., Bao, B., & Xu, C. (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/cvpr52688.2022.01602 · Cited by 399 · see citing works

Cross-Modal Contrastive Learning for Text-to-Image Generation

Zhang, H., Koh, J. Y., Baldridge, J., Lee, H., & Yang, Y. (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/cvpr46437.2021.00089 · Cited by 359 · see citing works

VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance

Crowson, K., Biderman, S., Kornis, D., Stander, D., Hallahan, E., Castricato, L., & Raff, E. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19836-6_6 · Cited by 316 · see citing works

Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers

Chefer, H., Gur, S., & Wolf, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00045 · Cited by 313 · see citing works

CLIPstyler: Image Style Transfer with a Single Text Condition

Kwon, G., & Ye, J. C. (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/cvpr52688.2022.01753 · Cited by 262 · see citing works

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert DenoisersPreprint

Balaji, Y., Nah, S., Huang, X., Vahdat, A., Song, J., Zhang, Q., Kreis, K., Aittala, M., Aila, T., Laine, S., et al. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2211.01324 · Cited by 253 · see citing works

Image Generation From Layout

Zhao, B., Meng, L., Yin, W., & Sigal, L. (2019) · 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.2019.00878 · Cited by 212 · see citing works

Specifying Object Attributes and Relations in Interactive Scene Generation

Ashual, O., & Wolf, L. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00466 · Cited by 185 · see citing works

Image-Based CLIP-Guided Essence Transfer

Chefer, H., Benaim, S., Paiss, R., & Wolf, L. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19778-9_40 · Cited by 35 · see citing works

No Token Left Behind: Explainability-Aided Image Classification and Generation

Paiss, R., Chefer, H., & Wolf, L. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19775-8_20 · Cited by 23 · 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

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

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

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

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

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

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap

Wu, X., Wu, S.-H., Wu, J., Feng, L., & Tan, K. C. (2024) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2024.3506731 · Cited by 177 · 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

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

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

Break-A-Scene: Extracting Multiple Concepts from a Single Image

Avrahami, O., Aberman, K., Fried, O., Cohen‐Or, D., & Lischinski, D. (2023) · SIGGRAPH Asia Conference Papers · doi:10.1145/3610548.3618154 · Cited by 147 · see citing works

Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models

Zhang, G., Wang, K., Xu, X., Wang, Z., & Shi, H. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00182 · Cited by 115 · 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

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition

Lu, S., Liu, Y., & Kong, A. W. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00218 · Cited by 105 · 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

InstanceDiffusion: Instance-Level Control for Image Generation

Wang, X., Darrell, T., Rambhatla, S. S., Girdhar, R., & Misra, I. (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/cvpr52733.2024.00596 · Cited by 100 · 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

LEDITS++: Limitless Image Editing Using Text-to-Image Models

Brack, M., Friedrich, F., Kornmeier, K., Tsaban, L., Schramowski, P., Kersting, K., & Passos, A. (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/cvpr52733.2024.00846 · Cited by 93 · see citing works

Revolutionizing Visuals: The Role of Generative AI in Modern Image Generation

Bansal, G., Nawal, A., Chamola, V., & Herencsar, N. (2024) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/3689641 · Cited by 91 · see citing works

MACE: Mass Concept Erasure in Diffusion Models

Lu, S., Wang, Z., Li, L., Liu, Y., & Adams Wai Kin, K. O. N. G. (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/cvpr52733.2024.00615 · Cited by 90 · see citing works

Grounded Text-to-Image Synthesis with Attention Refocusing

Phung, Q., Ge, S., & Huang, 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/cvpr52733.2024.00758 · Cited by 94 · see citing works

A Neural Space-Time Representation for Text-to-Image Personalization

Alaluf, Y., Richardson, E., Metzer, G., & Cohen‐Or, D. (2023) · ACM Transactions on Graphics · doi:10.1145/3618322 · Cited by 92 · see citing works

Cross-Image Attention for Zero-Shot Appearance Transfer

Alaluf, Y., Garibi, D., Patashnik, O., Averbuch‐Elor, H., & Cohen‐Or, D. (2024) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/3641519.3657423 · Cited by 79 · see citing works

MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis

Zhou, D., Li, Y., Ma, F., Zhang, X.-T., & Yang, Y. (2024) · Computer Vision and Pattern Recognition · doi:10.1109/cvpr52733.2024.00651 · Cited by 175 · see citing works

Uni-paint: A Unified Framework for Multimodal Image Inpainting with Pretrained Diffusion Model

Yang, S., Chen, X., & Liao, J. (2023) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3581783.3612200 · Cited by 69 · see citing works

Expressive Text-to-Image Generation with Rich Text

Ge, S., Park, T., Zhu, J.-Y., & Huang, J. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00694 · Cited by 69 · see citing works

Deepfake: definitions, performance metrics and standards, datasets, and a meta-review

Altuncu, E., Franqueira, V. N. L., & Li, S. (2024) · Frontiers in Big Data · doi:10.3389/fdata.2024.1400024 · Cited by 65 · see citing works

T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-Image Generation

Huang, K., Duan, C., Sun, K., Xie, E., Li, Z., & Liu, X. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3531907 · Cited by 74 · see citing works

UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs

Xu, Y., Zhao, Y., Xiao, Z., & Hou, T. (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/cvpr52733.2024.00783 · Cited by 68 · see citing works

Vox-E: Text-guided Voxel Editing of 3D Objects

Sella, E., Fiebelman, G., Hedman, P., & Averbuch‐Elor, H. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00046 · Cited by 68 · see citing works

Training-Free Consistent Text-to-Image Generation

Tewel, Y., Kaduri, O., Gal, R., Kasten, Y., Wolf, L., Chechik, G., & Atzmon, Y. (2024) · ACM Transactions on Graphics · doi:10.1145/3658157 · Cited by 68 · see citing works

Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models

Dong, W., Xue, S., Duan, X., & Han, S. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00683 · Cited by 61 · see citing works

AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion

Jiang, Y., Zhang, Z., Xue, T., & Gu, J. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73661-2_19 · Cited by 64 · see citing works

Zero-shot spatial layout conditioning for text-to-image diffusion models

Couairon, G., Careil, M., Cord, M., Lathuilière, S., & Verbeek, J. J. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00207 · Cited by 55 · see citing works

SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation

Zhang, Y., Song, Y., Liu, J., Wang, R., Yu, J., Tang, H., Li, H., Tang, X., Hu, Y., Pan, H. C., et al. (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/cvpr52733.2024.00771 · Cited by 54 · see citing works

Create Your World: Lifelong Text-to-Image Diffusion

Sun, G., Liang, W., Dong, J., Li, J., Ding, Z., & Cong, Y. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3382753 · Cited by 53 · see citing works

Composing Object Relations and Attributes for Image-Text Matching

Pham, K., Huynh, C., Lim, S.-N., & Shrivastava, A. (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/cvpr52733.2024.01361 · Cited by 53 · see citing works

Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion

Yang, S., Hou, L., Huang, H., Ma, C., Wan, P., Zhang, D., Chen, X., & Liao, J. (2024) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/3641519.3657481 · Cited by 55 · see citing works

GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs

Gao, G., Liu, W., Chen, A., Geiger, A., & Schölkopf, B. (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/cvpr52733.2024.02012 · Cited by 46 · see citing works

Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative Model

Xiao, S., Huang, S., Lin, Y., Ye, Y., & Zeng, W. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3326913 · Cited by 44 · see citing works

Diffusion Model is Secretly a Training-Free Open Vocabulary Semantic Segmenter

Wang, J., Li, X., Zhang, J., Xu, Q., Zhou, Q., Yu, Q., Sheng, L., & Xu, D. (2025) · IEEE Transactions on Image Processing · doi:10.1109/tip.2025.3551648 · Cited by 55 · see citing works

Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models

Wang, R., Chen, Z., Chen, C., Ma, J., Lu, H., & Lin, X. S. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i6.28364 · Cited by 43 · see citing works

Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer

Yatim, D., Fridman, R., Bar-Tal, O., Kasten, Y., & Dekel, T. (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/cvpr52733.2024.00809 · Cited by 47 · see citing works

DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing

Chen, M., Laina, I., & Vedaldi, A. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72904-1_5 · Cited by 39 · see citing works

PortraitBooth: A Versatile Portrait Model for Fast Identity-Preserved Personalization

Xu, P., Zhu, J., Jiang, B., Tai, Y. Y., Luo, D., Zhang, J., Lin, W., Jin, T., Wang, C., & Ji, R. (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/cvpr52733.2024.02557 · Cited by 38 · see citing works

Initno: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization

Guo, X., Liu, J., Cui, M., Li, J., Hongyu, Y., & Huang, 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/cvpr52733.2024.00896 · Cited by 36 · see citing works

MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation

Xie, J., Li, W., Li, X., Liu, Z., Ong, Y.-S., & Loy, C. C. (2024) · International Journal of Computer Vision · doi:10.1007/s11263-024-02223-3 · Cited by 40 · see citing works

A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis

Agarwal, A., Karanam, S., Joseph, K. J., Saxena, A., Goswami, K., & Srinivasan, B. V. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00217 · Cited by 35 · see citing works

Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention Modulation

Guo, Q., & Lin, T. (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/cvpr52733.2024.00667 · Cited by 36 · see citing works

Diffusion-Based Visual Art Creation: A Survey and New Perspectives

Wang, B., Chen, Q., & Wang, Z. (2025) · ACM Computing Surveys · doi:10.1145/3728459 · Cited by 40 · see citing works

Adversarial attacks and defenses on text-to-image diffusion models: A survey

Zhang, C., Hu, M., Li, W., & Wang, L. (2024) · Information Fusion · doi:10.1016/j.inffus.2024.102701 · Cited by 33 · see citing works

Controllable Generation With Text-to-Image Diffusion Models: A Survey

Cao, P., Zhou, F., Song, Q., & Yang, L. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3646548 · Cited by 61 · see citing works

ConvoFusion: Multi-Modal Conversational Diffusion for Co-Speech Gesture Synthesis

Mughal, M. H., Dabral, R., Habibie, I., Donatelli, L. E., Habermann, M., & Theobalt, 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/cvpr52733.2024.00138 · Cited by 34 · see citing works

Weed image augmentation by ControlNet-added stable diffusion for multi-class weed detection

Deng, B., & Lu, Y. (2025) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2025.110123 · Cited by 33 · see citing works

Drawing a satisfying picture: an exploratory study of human–AI interaction in AI painting through breakdown-repair communication strategies

Ma, X., & Huo, Y. (2024) · Information Processing & Management · doi:10.1016/j.ipm.2024.103755 · Cited by 30 · see citing works

A Survey of Cross-Modal Visual Content Generation

Nazarieh, F., Feng, Z., Awais, M., Wang, W., & Kittler, J. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3351601 · Cited by 29 · see citing works

The Chosen One: Consistent Characters in Text-to-Image Diffusion Models

Avrahami, O., Hertz, A., Vinker, Y., Arar, M., Fruchter, S., Fried, O., Cohen-Or, D., & Lischinski, D. (2024) · Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers · doi:10.1145/3641519.3657430 · Cited by 29 · see citing works

EchoScene: Indoor Scene Generation via Information Echo Over Scene Graph Diffusion

Zhai, G., Örnek, E. P., Chen, D. Z., Liao, R., Di, Y., Navab, N., Tombari, F., & Busam, B. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72664-4_10 · Cited by 32 · see citing works

Generating Images of Rare Concepts Using Pre-trained Diffusion Models

Samuel, D., Ben‐Ari, R., Raviv, S., Darshan, N., & Chechik, G. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i5.28270 · Cited by 31 · see citing works

Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following

Feng, Y., Gong, B., Chen, D., Shen, Y., Liu, Y., & Zhou, 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/cvpr52733.2024.00454 · Cited by 28 · see citing works

Be Yourself: Bounded Attention for Multi-subject Text-to-Image Generation

Dahary, O., Patashnik, O., Aberman, K., & Cohen‐Or, D. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72630-9_25 · Cited by 30 · see citing works

DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment

Zhang, X., Yang, B., Kampffmeyer, M., Zhang, W., Zhang, S., Lu, G., Lin, L., Xu, H., & Liang, X. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.02116 · Cited by 24 · see citing works

UDiffText: A Unified Framework for High-Quality Text Synthesis in Arbitrary Images via Character-Aware Diffusion Models

Zhao, Y., & Lian, Z. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72751-1_13 · Cited by 27 · see citing works

Attention Calibration for Disentangled Text-to-Image Personalization

Zhang, Y., Yang, M., Zhou, Q., & Wang, 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/cvpr52733.2024.00456 · Cited by 24 · see citing works

Unseen Visual Anomaly Generation

Sun, H., Cao, Y., Dong, H., & Fink, O. (2025) · 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/cvpr52734.2025.02375 · Cited by 23 · see citing works

LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models

Yang, Y., Wen, W. Y., Peng, L., Song, C., Chen, Y., Li, H., Yang, X., Lu, Q., Cai, D., He, X., et al. (2025) · IEEE Transactions on Image Processing · doi:10.1109/tip.2025.3633153 · Cited by 37 · see citing works

SODA: Bottleneck Diffusion Models for Representation Learning

Hudson, D. A., Zoran, D., Malinowski, M., Lampinen, A. K., Jaegle, A., McClelland, J. L., Matthey, L., Hill, F., & Lerchner, A. (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/cvpr52733.2024.02181 · Cited by 24 · see citing works

Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance

Shen, D., Song, G., Xue, Z., Wang, F.-Y., & Liu, 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/cvpr52733.2024.00895 · Cited by 22 · see citing works

Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models

Mahajan, S., Rahman, T., Yi, K. M., & Sigal, 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/cvpr52733.2024.00650 · Cited by 22 · see citing works

A Survey on Quality Metrics for Text-to-Image Generation

Hartwig, S., Engel, D., Sick, L., Kniesel, H., Payer, T., Poonam, P., Glöckler, M., Bäuerle, A., & Ropinski, T. (2025) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2025.3585077 · Cited by 39 · see citing works

EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer

Zhang, Y. S., Yuan, Y., Song, Y., Wang, H., & Liu, J. (2025) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51701.2025.01814 · Cited by 24 · see citing works

DMF-GAN: Deep Multimodal Fusion Generative Adversarial Networks for Text-to-Image Synthesis

Yang, B., Xiang, X., Kong, W., Zhang, J., & Peng, Y. K. (2024) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2024.3358086 · Cited by 21 · see citing works

CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models

Meral, T. H. S., Simsar, E., Tombari, F., & Yanardag, P. (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/cvpr52733.2024.00860 · Cited by 20 · see citing works

Large-Scale Reinforcement Learning for Diffusion Models

Zhang, Y., Tzeng, E., Du, Y., & Kislyuk, D. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73036-8_1 · Cited by 19 · see citing works

CosmicMan: A Text-to-Image Foundation Model for Humans

Li, S., Fu, J., Liu, K., Wang, W., Lin, K.-Y., & Wu, W. (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/cvpr52733.2024.00664 · Cited by 20 · see citing works

Understanding the Impact of Negative Prompts: When and How Do They Take Effect?

Ban, Y., Wang, R., Zhou, T., Cheng, M., Gong, B., & Hsieh, C. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73024-5_12 · Cited by 18 · see citing works

ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints

Richardson, E., Goldberg, K., Alaluf, Y., & Cohen‐Or, D. (2024) · ACM Transactions on Graphics · doi:10.1145/3659578 · Cited by 17 · see citing works

DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection

Song, J., Park, D., Baek, K., Lee, S., Choi, J., Kim, E., & Yoon, S. (2025) · 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/cvpr52734.2025.01744 · Cited by 18 · see citing works

TokenCompose: Text-to-Image Diffusion with Token-Level Supervision

Wang, Z., Sha, Z., Ding, Z., Wang, Y., & Tu, 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/cvpr52733.2024.00817 · Cited by 21 · see citing works

GenZI: Zero-Shot 3D Human-Scene Interaction Generation

Li, L., & Dai, A. (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/cvpr52733.2024.01934 · Cited by 16 · see citing works

Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer

Raab, S., Gat, I., Sala, N., Tevet, G., Shalev-Arkushin, R., Fried, O., Bermano, A. H., & Cohen‐Or, D. (2024) · SIGGRAPH Asia Conference Papers · doi:10.1145/3680528.3687579 · Cited by 16 · see citing works

PALP: Prompt Aligned Personalization of Text-to-Image Models

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StableMakeup: When Real-World Makeup Transfer Meets Diffusion Model

Zhang, Y., Yuan, Y., Song, Y., & Liu, J. (2025) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/3721238.3730702 · Cited by 18 · see citing works

An Image is Worth Multiple Words: Multi-Attribute Inversion for Constrained Text-To-Image Synthesis

Agarwal, A., Karanam, S., Shukla, T., & Srinivasan, B. V. (2025) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv61041.2025.00590 · Cited by 19 · see citing works

The Effect of Electroencephalogram Feedback in Virtual Reality Interactive System on Creativity Performance, Attention Value, and Cognitive Load

Wu, L. Y., Chau, K. T., Yahaya, W. A. J. W., Wang, S., & Wu, X. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2371692 · Cited by 14 · see citing works

KV Inversion: KV Embeddings Learning for Text-Conditioned Real Image Action Editing

Huang, J., Liu, Y., Qin, J., & Chen, S. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-8429-9_14 · Cited by 14 · see citing works

TIAM - A Metric for Evaluating Alignment in Text-to-Image Generation

Grimal, P., Borgne, H. L., Ferret, O., & Tourille, J. (2024) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv57701.2024.00287 · Cited by 14 · see citing works

Prompt Highlighter: Interactive Control for Multi-Modal LLMs

Zhang, Y., Qian, S., Peng, B., Liu, S., & Jia, 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/cvpr52733.2024.01255 · Cited by 14 · see citing works

Tuning-Free Image Customization with Image and Text Guidance

Li, P., Nie, Q., Chen, Y., Jiang, X., Wu, K., Lin, Y., Liu, Y., Peng, J., Wang, C., & Zheng, F. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73116-7_14 · Cited by 15 · see citing works

Vision + Language Applications: A Survey

Zhou, Y., & Shimada, N. (2023) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw59228.2023.00090 · Cited by 14 · see citing works

Few-Shot Defect Image Generation Based on Consistency Modeling

Shi, Q., Wei, J., Shen, F., & Zhang, Z. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73116-7_21 · Cited by 14 · see citing works

ConsistentID: Portrait Generation With Multimodal Fine-Grained Identity Preserving

Huang, J., Dong, X. M., Song, W., Zheng, C., Tang, Z., Zhou, J., Cheng, Y., Chen, L., Li, H., Yan, Y., et al. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2026.3652557 · Cited by 21 · see citing works

Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models

Liu, N., Du, Y., Li, S., Tenenbaum, J. B., & Torralba, A. B. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00199 · Cited by 13 · see citing works

Generating Non-Stationary Textures Using Self-Rectification

Zhou, Y., Xiao, R., Lischinski, D., Cohen‐Or, D., & Huang, H. F. (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/cvpr52733.2024.00742 · Cited by 12 · see citing works

CLiC: Concept Learning in Context

Safaee, M., Mikaeili, A., Patashnik, O., Cohen‐Or, D., & Amiri, A. M. (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/cvpr52733.2024.00661 · Cited by 12 · see citing works

PreciseControl: Enhancing Text-to-Image Diffusion Models with Fine-Grained Attribute Control

Parihar, R., Sachidanand, V. S., Mani, S., Karmali, T., & Babu, R. V. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73007-8_27 · Cited by 12 · see citing works

Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models

Zhang, Y., Tzun, T. T., Hern, L. W., & Kawaguchi, K. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73016-0_5 · Cited by 12 · see citing works

DiffUHaul: A Training-Free Method for Object Dragging in Images

Avrahami, O., Gal, R., Chechik, G., Fried, O., Lischinski, D., Vahdat, A., & Nie, W. (2024) · SIGGRAPH Asia Conference Papers · doi:10.1145/3680528.3687590 · Cited by 13 · see citing works

Rethinking local-to-global representation learning for rotation-invariant point cloud analysis

Wang, Z., Yu, Y., & Li, X. (2024) · Pattern Recognition · doi:10.1016/j.patcog.2024.110624 · Cited by 11 · see citing works

Discriminative Probing and Tuning for Text-to-Image Generation

Qu, L., Wang, W., Li, Y., Zhang, H., Nie, L., & Chua, T. (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/cvpr52733.2024.00710 · Cited by 16 · see citing works

Refine, Control and Distill: A Text-to-Image Framework for Faithful Image Generation

Xing, P., Wang, N., Sun, Y., Tang, J., & Li, Z. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3628109

Attention Disentanglement for Semantic Diffusion Modeling in Text-to-Image Generation

Yu, H., & Chien, J.-T. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10888688 · Cited by 6 · see citing works

Improving Semantic Precision in Text-to-Image Diffusion Models via Latent-Space Optimization and Semantically-Parsed Evaluation

Miab, M. R. (2026) · Washington University in St. Louis Libraries · doi:10.7936/56dw-fa51

Enhancing semantic mapping in text-to-image diffusion via Gather-and-Bind

Fu, H., & Cheng, G. (2024) · Computers & Graphics · doi:10.1016/j.cag.2024.104118 · Cited by 2 · see citing works

Semantic Guidance Tuning for Text-To-Image Diffusion ModelsPreprint

Kang, H., Lee, D., Shin, M.-J., & Lee, I. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2312.15964