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

Attention Is All You Need

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017) · arXiv · doi:10.48550/arxiv.1706.03762 · Cited by 120,404

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

ImageNet Large Scale Visual Recognition Challenge

Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-015-0816-y · Cited by 39,380

Rethinking the Inception Architecture for Computer Vision

Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., & Wojna, Z. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.308 · Cited by 32,138

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

Generative Adversarial Nets

Labaca-Castro, R. (2023) · Springer eBooks · doi:10.1007/978-3-658-40442-0_9 · Cited by 21,119

GAN（Generative Adversarial Nets）

淳司, 柴. (2017) · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics · doi:10.3156/jsoft.29.5_177_2 · Cited by 20,507

Auto-Encoding Variational Bayes

Kingma, D. P., & Welling, M. (2013) · arXiv · doi:10.48550/arxiv.1312.6114 · Cited by 20,067

Neural Machine Translation by Jointly Learning to Align and Translate

Bahdanau, D., Cho, K., & Bengio, Y. (2014) · arXiv · doi:10.48550/arxiv.1409.0473 · Cited by 16,213

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Ledig, C., Theis, L., Huszar, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., et al. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.19 · Cited by 12,696

A survey on knowledge-enhanced multimodal learning

Lymperaiou, M., & Stamou, G. B. (2024) · Artificial Intelligence Review · doi:10.1007/s10462-024-10825-z · Cited by 45

Toward the unification of generative and discriminative visual foundation model: a survey

Liu, X., Zhou, T., Wang, C., Wang, Y., Wang, Y., Cao, Q., Du, W., Yang, Y., He, J., Qiao, Y., et al. (2024) · The Visual Computer · doi:10.1007/s00371-024-03608-8 · Cited by 39

StyleAdapter: A Unified Stylized Image Generation Model

Wang, Z., Wang, X., Xie, L., Qi, Z., Shan, Y., Wang, W., & Luo, P. (2024) · International Journal of Computer Vision · doi:10.1007/s11263-024-02253-x · Cited by 91

C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis

Joseph, K. J., Pal, A., Rajanala, S., & Balasubramanian, V. N. (2019) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2019.00044 · Cited by 28

Attention-Based Curiosity-Driven Exploration in Deep Reinforcement Learning

Reizinger, P., & Szemenyei, M. (2020) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp40776.2020.9054546 · Cited by 28

Text as Neural Operator:Image Manipulation by Text Instruction

Zhang, T., Tseng, H.-Y., Jiang, L., Yang, W., Lee, H., & Essa, I. A. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3475343 · Cited by 29

SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning

Fu, T.-J., Wang, X. E., Grafton, S. T., Eckstein, M. P., & Wang, W. Y. (2020) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2020.emnlp-main.357 · Cited by 28

TextFace: Text-to-Style Mapping Based Face Generation and Manipulation

Hou, X., Zhang, X., Li, Y., & Shen, L. (2022) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2022.3160360 · Cited by 29

DoodleFormer: Creative Sketch Drawing with Transformers

Bhunia, A. K., Khan, S. A., Cholakkal, H., Anwer, R. M., Khan, F. S., Laaksonen, J. T., & Felsberg, M. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19790-1_21 · Cited by 28

ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design

Zhang, X., Sha, Y., Kampffmeyer, M., Xie, Z., Jie, Z., Huang, C., Peng, J., & Liang, X. (2022) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3503161.3548230 · Cited by 28

Layout-Bridging Text-to-Image Synthesis

Liang, J., Pei, W., & Lu, F. (2023) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2023.3274228 · Cited by 28

Shape-Aware Text-Driven Layered Video Editing

Lee, Y.-C., Jang, J.-Z. G., Chen, Y.-T., Qiu, E., & Huang, 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/cvpr52729.2023.01376 · Cited by 40

sEMG-Based Gesture Recognition With Embedded Virtual Hand Poses and Adversarial Learning

Hu, Y., Wong, Y., Dai, Q., Kankanhalli, M., Geng, W., & Li, X. (2019) · IEEE Access · doi:10.1109/access.2019.2930005 · Cited by 29

Generative Adversarial Networks for text-to-face synthesis & generation: A quantitative–qualitative analysis of Natural Language Processing encoders for Spanish

Lozano, E. Y., Castillo‐Cara, M., Orozco–Barbosa, L., & García‐Castro, R. (2024) · Information Processing & Management · doi:10.1016/j.ipm.2024.103667 · Cited by 27

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 54

Unpaired Image-to-Speech Synthesis With Multimodal Information Bottleneck

Ma, S., McDuff, D., & Song, Y. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00769 · Cited by 28

MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis

Weng, S., Li, W., Li, D., Jin, H., & Shi, B. (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/cvpr42600.2020.00776 · Cited by 27

Unsupervised text-to-image synthesis

Dong, Y., Zhang, Y., Ma, L., Wang, Z., & Luo, J. (2020) · Pattern Recognition · doi:10.1016/j.patcog.2020.107573 · Cited by 27

Identification of Multi-Class Drugs Based on Near Infrared Spectroscopy and Bidirectional Generative Adversarial Networks

Zheng, A., Yang, H., Pan, X., Yin, L., & Feng, Y. (2021) · Sensors · doi:10.3390/s21041088 · Cited by 27

The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognition

Shen, J., Dudley, J. J., & Kristensson, P. O. (2021) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg52635.2021.9666999 · Cited by 27

Storyfier: Exploring Vocabulary Learning Support with Text Generation Models

Peng, Z., Wang, X., Han, Q., Zhu, J., Ma, X., & Qu, H. (2023) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3586183.3606786 · Cited by 40

Cross-Modal Dual Learning for Sentence-to-Video Generation

Liu, Y., Wang, X. Y., Yuan, Y., & Zhu, W. (2019) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3343031.3350986 · Cited by 27

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial NetsPreprint

Pu, Y., Dai, S., Gan, Z., Wang, W., Wang, G., Zhang, Y., Henao, R., & Carin, L. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1806.02978 · Cited by 27

FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face GenerationPreprint

Chen, X., Qing, L., He, X., Luo, X., & Xu, Y. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1904.05729 · Cited by 27

On the Evaluation of Conditional GANsPreprint

DeVries, T., Romero, A., Pineda, L., Taylor, G. W., & Drozdzal, M. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1907.08175 · Cited by 49

MoE-AGIQA: Mixture-of-Experts Boosted Visual Perception-Driven and Semantic-Aware Quality Assessment for AI-Generated Images

Yang, J., Fu, J., Zhang, W., Cao, W., Liu, L., & Peng, H. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00641 · Cited by 33

ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems

Zavadski, D., Feiden, J.-F., & Rother, C. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73223-2_20 · Cited by 33

Complementary, Heterogeneous and Adversarial Networks for Image-to-Image Translation

Gao, F., Xu, X., Yu, J., Shang, M., Li, X., & Tao, D. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3061286 · Cited by 26

Discrete and continuous representations and processing in deep learning: Looking forward

Cartuyvels, R., Spinks, G., & Moens, M. (2021) · AI Open · doi:10.1016/j.aiopen.2021.07.002 · Cited by 32

DSE-GAN: Dynamic Semantic Evolution Generative Adversarial Network for Text-to-Image Generation

Huang, M., Mao, Z., Wang, P., Wang, Q., & Zhang, Y. (2022) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3503161.3547881 · Cited by 29

IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers

Wu, R., Su, W., Ma, K., & Liao, J. (2023) · ACM Transactions on Graphics · doi:10.1145/3618364 · Cited by 55

When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey

Zhang, C., Wang, J., Yen, G. G., Zhao, C., Sun, Q., Tang, Y. S., Qian, F., & Kurths, J. (2020) · Patterns · doi:10.1016/j.patter.2020.100050 · Cited by 28

UFC-BERT: Unifying Multi-Modal Controls for Conditional Image SynthesisPreprint

Zhang, Z., Ma, J., Zhou, C., Men, R., Li, Z., Ding, M., Tang, J., Zhou, J., & Yang, H. (2021) · arXiv (Cornell University) · Cited by 26

Unfolding Explainable AI for Brain Tumor Segmentation

Hassan, M. A., Fateh, A. A., Lin, J., Zhuang, Y., Lin, G., Xiong, H., You, Z., Qin, P., & Zeng, H. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.128058 · Cited by 28

URCA-GAN: UpSample Residual Channel-wise Attention Generative Adversarial Network for image-to-image translation

Nie, X., Ding, H., Qi, M., Wang, Y., & Wong, E. K. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.02.054 · Cited by 25

Cross Modal Compression

Li, J., Jia, C., Zhang, X., Ma, S., & Gao, W. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3475558 · Cited by 27

L-Verse: Bidirectional Generation Between Image and Text

Kim, T., Song, G., Lee, S., Kim, S., Seo, Y., Lee, S., Kim, S. H., Lee, H., & Bae, K. (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/cvpr52688.2022.01603 · Cited by 25

Design Thinking Methodology and Text-To-Image Artificial Intelligence: A Case Study in the Context of Furniture Design Education

Caires, C. S., Estadieu, G. V., & Man, S. O. N. K. (2023) · Springer series in design and innovation · doi:10.1007/978-3-031-41770-2_7 · Cited by 25

Self-Attention Generative Adversarial Network Interpolating and Denoising Seismic Signals Simultaneously

Ding, M., Zhou, Y., & Chi, Y. (2024) · Remote Sensing · doi:10.3390/rs16020305 · Cited by 25

A Benchmark and Baseline for Language-Driven Image Editing

Shi, J., Xu, N., Bui, T., Dernoncourt, F., Wen, Z., & Xu, C. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-69544-6_38 · Cited by 25

Mining Cross-Image Semantics for Weakly Supervised Semantic SegmentationPreprint

Sun, G., Wang, W., Dai, J., & Gool, L. V. (2020) · Lirias · doi:10.3929/ethz-b-000460873 · Cited by 25

OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and GenerationPreprint

Liu, J., Zhu, X., Liu, F., Guo, L., Zhao, Z., Sun, M., Wang, N., Lu, H., Zhou, S., Zhang, J., et al. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2107.00249 · Cited by 40

Anomaly-Based Manipulation Detection in Satellite Images.

Horváth, J., Güera, D., Yarlagadda, S. K., Bestagini, P., Zhu, F. M., Tubaro, S., & Delp, E. J. (2019) · Cited by 24

Deep image synthesis from intuitive user input: A review and perspectives

Xue, Y., Guo, Y.-C., Zhang, H., Xu, T., Zhang, S., & Huang, X. (2021) · Computational Visual Media · doi:10.1007/s41095-021-0234-8 · Cited by 24

Text-to-image synthesis with self-supervised learning

Tan, Y.-X., Lee, C., Neo, M., & Lim, K. (2022) · Pattern Recognition Letters · doi:10.1016/j.patrec.2022.04.010 · Cited by 22

LFR-GAN: Local Feature Refinement based Generative Adversarial Network for Text-to-Image Generation

Deng, Z., He, X., & Peng, Y. (2023) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3589002 · Cited by 25

Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation

Fu, T.-J., Yu, L., Zhang, N., Fu, C.-Y., Su, J.-C., Wang, W. Y., & Bell, S. (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/cvpr52729.2023.01029 · Cited by 27

UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer

Cheong, S. Y., Mustafa, A., & Gilbert, A. (2023) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw60793.2023.00451 · Cited by 27

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

HanDiffuser: Text-to-Image Generation with Realistic Hand Appearances

Narasimhaswamy, S., Bhattacharya, U., Chen, X., Dasgupta, I., Mitra, S., & Hoai, 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/cvpr52733.2024.00239 · Cited by 38

PororoGAN

Zeng, G., Li, Z., & Zhang, Y. (2019) · doi:10.1145/3374587.3374649 · Cited by 24

MMFL: Multimodal Fusion Learning for Text-Guided Image Inpainting

Lin, Q., Yan, B., Li, J., & Tan, W. (2020) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3394171.3413982 · Cited by 24

Sequential Attention GAN for Interactive Image Editing via Dialogue.Preprint

Cheng, Y., Gan, Z., Li, Y., Liu, J., & Gao, J. (2018) · arXiv (Cornell University) · Cited by 26

Towards Open-World Text-Guided Face Image Generation and ManipulationPreprint

Xia, W., Yang, Y., Xue, J., & Wu, B. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.08910 · Cited by 39

Self-Paced Adversarial Training for Multimodal Few-Shot Learning

Pahde, F., Ostapenko, O., Jähnichen, P., Klein, T., & Nabi, M. (2019) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2019.00029 · Cited by 23

Improving text-to-image generation with object layout guidance

Zakraoui, J., Saleh, M., Al-Maadeed, S. A., & Jaam, J. M. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11038-0 · Cited by 23

CRD-CGAN: category-consistent and relativistic constraints for diverse text-to-image generation

Hu, T., Long, C., & Xiao, C. (2023) · Frontiers of Computer Science · doi:10.1007/s11704-022-2385-x · Cited by 23

Multi-Modality Deep Network for Extreme Learned Image Compression

Jiang, X., Tan, W., Tan, T., Yan, B., & Shen, L. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v37i1.25184 · Cited by 23

Recent Advances in Text-to-Image Synthesis: Approaches, Datasets and Future Research Prospects

Tan, Y. X., Lee, C. P., Neo, M., Lim, K. M., Lim, J. Y., & Alqahtani, A. (2023) · IEEE Access · doi:10.1109/access.2023.3306422 · Cited by 28

FireDM: A weakly-supervised approach for massive generation of multi-scale and multi-scene fire segmentation datasets

Zheng, H., Wang, M., Wang, Z., & Huang, X. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.111547 · Cited by 24

Towards Coherent and Cohesive Long-form Text Generation

Cho, W. S., Zhang, P., Zhang, Y., Li, X., Galley, M., Brockett, C., Wang, M., & Gao, J. (2019) · doi:10.18653/v1/w19-2401 · Cited by 23

Generating Images From Spoken Descriptions

Wang, X., Qiao, T., Zhu, J., Hanjalić, A., & Scharenborg, O. (2021) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2021.3053391 · Cited by 23

CACrowdGAN: Cascaded Attentional Generative Adversarial Network for Crowd Counting

Zhu, A., Zheng, Z., Huang, Y., Wang, T., Jin, J., Hu, F., Hua, G., & Snoussi, H. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3075859 · Cited by 23

Hierarchical Cross-Modal Talking Face Generationwith Dynamic Pixel-Wise LossPreprint

Chen, L., Maddox, R. K., Duan, Z., & Xu, C. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1905.03820 · Cited by 28

TexFit: Text-Driven Fashion Image Editing with Diffusion Models

Wang, T., & Ye, M. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i9.28885 · Cited by 29

Facial Synthesis From Visual Attributes via Sketch Using Multiscale Generators

Di, X., & Patel, V. M. (2019) · IEEE Transactions on Biometrics Behavior and Identity Science · doi:10.1109/tbiom.2019.2961926 · Cited by 22

Open Domain Dialogue Generation with Latent Images

Yang, Z., Wu, W., Hu, H., Xu, C., Wang, W., & Li, Z. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i16.17675 · Cited by 22

Modality Disentangled Discriminator for Text-to-Image Synthesis

Feng, F., Niu, T., Li, R., & Wang, X. (2021) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2021.3075997 · Cited by 23

Joint Graph Learning and Matching for Semantic Feature Correspondence

Liu, H., Wang, T., Li, Y., Lang, C., Jin, Y., & Ling, H. (2022) · Pattern Recognition · doi:10.1016/j.patcog.2022.109059 · Cited by 22

A Novel Iterative PA-MRNet: Multiple Noise Suppression and Weak Signals Recovery for Downhole DAS Data

Tian, Y., Sui, J., Li, Y., Wu, N., & Shao, D. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3170635 · Cited by 22

Text-to-Face Generation with StyleGAN2

Ayanthi, D. M. A., & Munasinghe, S. (2022) · doi:10.5121/csit.2022.120805 · Cited by 23

Architecture,Language and AI - Language,Attentional Generative Adversarial Networks (AttnGAN) and Architecture Design

del Campo, M. (2021) · Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia · doi:10.52842/conf.caadria.2021.1.211 · Cited by 22

Cover Reproducible Steganography via Deep Generative Models

Chen, K., Zhou, H., Wang, Y., Li, M., Zhang, W., & Yu, N. (2022) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2022.3217569 · Cited by 22

Multi-Sentence Complementarily Generation for Text-to-Image Synthesis

Zhao, L., Huang, P., Chen, T., Fu, C., Hu, Q., & Zhang, Y. (2023) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2023.3297769 · Cited by 22

Steganography With Generated Images: Leveraging Volatility to Enhance Security

Zhang, J., Chen, K., Li, W., Zhang, W., & Yu, N. (2023) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2023.3341427 · Cited by 23

Toward Secure and Robust Steganography for Black-Box Generated Images

Zeng, K., Chen, K., Zhang, J., Zhang, W., & Yu, N. (2024) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2024.3361220 · Cited by 24

MatchXML: An Efficient Text-Label Matching Framework for Extreme Multi-Label Text Classification

Ye, H., Sunderraman, R., & Ji, S. (2024) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2024.3374750 · Cited by 26

Visual-Relation Conscious Image Generation from Structured-Text

Vo, D. M., & Sugimoto, A. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58604-1_18 · Cited by 22

Conditional Image Generation and Manipulation for User-Specified ContentPreprint

Stap, D., Bleeker, M., Ibrahimi, S., & ter Hoeve, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2005.04909 · Cited by 22

One-Shot Free-View Neural Talking-Head Synthesis for Video ConferencingPreprint

Wang, T.-C., Mallya, A., & Liu, M.-Y. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.15126 · Cited by 22

Conditional GANs with Auxiliary Discriminative ClassifierPreprint

Hou, L., Cao, Q., Shen, H., Pan, S., Li, X., & Cheng, X. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2107.10060 · Cited by 27

Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment

Ji, Z., Shaikh, M. A., Moukheiber, D., Srihari, S. N., Peng, Y., & Gao, M. (2021) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-87589-3_12 · Cited by 21

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 32

Point-to-Point Video Generation

Wang, T.-H. J., Cheng, Y.-C., Lin, C. H., Chen, H.-T., & Sun, M. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.01059 · Cited by 23

Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation

Tan, Z., Yang, X., Ye, Z., Wang, Q., Yan, Y., Nguyen, A., & Huang, K. (2023) · Pattern Recognition · doi:10.1016/j.patcog.2023.109883 · Cited by 21

A Multi-Modality Fusion and Gated Multi-Filter U-Net for Water Area Segmentation in Remote Sensing

Wang, R., Zhang, C., Chen, C., Hao, H., Li, W., & Jiao, L. (2024) · Remote Sensing · doi:10.3390/rs16020419 · Cited by 21

CatVersion: Concatenating Embeddings for Diffusion-Based Text-to-Image Personalization

Zhao, R., Zhu, M., Dong, S., Cheng, D., Wang, N., & Gao, X. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3531917 · Cited by 28

ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization

Paz-Argaman, T., Tsarfaty, R., Chechik, G., & Atzmon, Y. (2020) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2020.findings-emnlp.50 · Cited by 24

Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals

Zhang, X., Jiang, R.-H., Fan, C., Tong, T.-Y., Wang, T., & Huang, P. (2021) · Machine Intelligence Research · doi:10.1007/s11633-020-1274-8 · Cited by 22

AnyFace++: A Unified Framework for Free-Style Text-to-Face Synthesis and Manipulation

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Text to Image Generation Using Attentional Generative Adversarial Network

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