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

KTransGAN: Variational Inference-Based Knowledge Transfer for Unsupervised Conditional Generative Learning

Azzam, M., Wu, W., Cao, W., Wu, S., & Wong, H. (2020) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2020.3023792 · Cited by 15

A survey on multimodal-guided visual content synthesis

Zhang, Z., Li, Z., Wei, K., Pan, S., & Deng, C. D. (2022) · Neurocomputing · doi:10.1016/j.neucom.2022.04.126 · Cited by 18

Challenges and Opportunities in Deep Learning Driven Fashion Design and Textiles Patterns Development

Simian, D., & Husac, F. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-27034-5_12 · Cited by 18

A Multi-Modal Story Generation Framework with AI-Driven Storyline Guidance

Kim, J., Heo, Y., Yu, H., & Nang, J. (2023) · Electronics · doi:10.3390/electronics12061289 · Cited by 18

The Five-Dollar Model: Generating Game Maps and Sprites from Sentence Embeddings

Merino, T., Negri, R., Rajesh, D., Charity, M., & Togelius, J. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment · doi:10.1609/aiide.v19i1.27506 · Cited by 15

GAN with opposition-based blocks and channel self-attention mechanism for image synthesis

Liu, G., Ke, A., Wu, X., & Zhang, H. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.123242 · Cited by 16

DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation

Chen, Z., Fang, S., Liu, W., He, Q., Huang, M., & Mao, Z. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i2.27891 · Cited by 16

CLIPAG: Towards Generator-Free Text-to-Image Generation

Ganz, R., & Elad, M. (2024) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv57701.2024.00380 · Cited by 16

Customization Assistant for Text-to-image Generation

Zhou, Y., Zhang, R., Gu, J., & Sun, 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/cvpr52733.2024.00877 · Cited by 22

SF-GAN: Semantic fusion generative adversarial networks for text-to-image synthesis

Yang, B., Xiang, X., Kong, W., Zhang, J., & Yao, J. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.125583 · Cited by 16

Ultrasonic imaging of near-surface blind defects based on WSAttnGAN network

Xing, Y., Zhu, W., Xu, J., Fan, G., & Qi, W. (2024) · Measurement · doi:10.1016/j.measurement.2024.116577 · Cited by 15

Characterization of hydration and dry shrinkage behavior of cement emulsified asphalt composites using deep learning

Zheng, T., Wang, Z., Wang, X., Ma, Y., Guo, H., & Liu, C. (2020) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2020.121898 · Cited by 15

Text-to-Image Generation via Semi-Supervised Training

Ji, Z., Wang, W., Chen, B., & Han, X. (2020) · IEEE International Conference on Visual Communications and Image Processing (VCIP) · doi:10.1109/vcip49819.2020.9301888 · Cited by 15

Visual Thinking of Neural Networks: Interactive Text to Image Synthesis

Lee, H.-H., Kim, G., Hur, Y., & Lim, H. (2021) · IEEE Access · doi:10.1109/access.2021.3074973 · Cited by 15

Fine-Grained Image Generation from Bangla Text Description using Attentional Generative Adversarial Network

Palash, M. A. H., Nasim, M. A. A., Dhali, A., & Afrin, F. (2021) · IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON) · doi:10.1109/raaicon54709.2021.9929536 · Cited by 15

CJE-TIG: Zero-shot cross-lingual text-to-image generation by Corpora-based Joint Encoding

Zhang, H., Yang, S., & Zhu, H. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.108006 · Cited by 15

Text-to-image synthesis with self-supervised bi-stage generative adversarial network

Tan, Y.-X., Lee, C., Neo, M., Lim, K., & Lim, J. (2023) · Pattern Recognition Letters · doi:10.1016/j.patrec.2023.03.023 · Cited by 13

Application of Auxiliary Classifier Wasserstein Generative Adversarial Networks in Wireless Signal Classification of Illegal Unmanned Aerial Vehicles

Zhao, C., Chen, C., Zeping, H., & Wu, Z. (2018) · Applied Sciences · doi:10.3390/app8122664 · Cited by 15

GAN-based person search via deep complementary classifier with center-constrained Triplet loss

Yao, R., Gao, C., Xia, S., Zhao, J., Zhou, Y. Z., & Hu, F. (2020) · Pattern Recognition · doi:10.1016/j.patcog.2020.107350 · Cited by 15

Improving Text Encoding for Retro-Remote Sensing

Bejiga, M. B., Hoxha, G., & Melgani, F. (2020) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2020.2983851 · Cited by 15

Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and Localization

Katamneni, V. S., & Rattani, A. (2024) · 2024 IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb62174.2024.10744480 · Cited by 20

Object-Centric Image Generation from Layouts

Sylvain, T., Zhang, P., Bengio, Y., Hjelm, R. D., & Sharma, S. (2021) · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · doi:10.1609/aaai.v35i3.16368 · Cited by 83

Cultural Bias in Text-to-Image Models: A Systematic Review of Bias Identification, Evaluation, and Mitigation Strategies

Elsharif, W., Alzubaidi, M. S., & Agus, M. (2025) · IEEE Access · doi:10.1109/access.2025.3585745 · Cited by 26

A Survey of State-of-the-Art GAN-based Approaches to Image Synthesis

Esfahani, S. N., & Latifi, S. (2019) · doi:10.5121/csit.2019.90906 · Cited by 14

ARRPNGAN: Text-to-image GAN with attention regularization and region proposal networks

Quan, F., Lang, B., & Liu, Y. (2022) · Signal Processing Image Communication · doi:10.1016/j.image.2022.116728 · Cited by 14

CLIP2GAN: Toward Bridging Text With the Latent Space of GANs

Wang, Y., Zhou, W., Bao, J., Wang, W., Li, L., & Li, H. (2023) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2023.3294261 · Cited by 15

GACnet-Text-to-Image Synthesis With Generative Models Using Attention Mechanisms With Contrastive Learning

Habib, M. A., Wadud, M. A. H., Pinky, L. Y., Talukder, M. H., Rahman, M. M., Mridha, M. F., Okuyama, Y., & Shin, J. (2023) · IEEE Access · doi:10.1109/access.2023.3342866 · Cited by 14

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

FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields

Hwang, S., Hyung, J., Kim, D., Kim, M., & Choo, J. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00321 · Cited by 14

GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos

Souček, T., Damen, D., Wray, M., Laptev, I., & Šivic, 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/cvpr52733.2024.00627 · Cited by 23

PADS-Net: GAN-based radiomics using multi-task network of denoising and segmentation for ultrasonic diagnosis of Parkinson disease

Shen, Y., Chen, L., Liu, J., Chen, H., Wang, C., Ding, H., & Zhang, Q. (2025) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2024.102490 · Cited by 14

Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings

Mahajan, S., Gurevych, I., & Roth, S. (2020) · TUbilio (Technical University of Darmstadt) · doi:10.48550/arxiv.2002.06661 · Cited by 14

Learning Cross-Modal Representations for Language-Based Image Manipulation

Kenan, E. A., Sun, Y., & Lim, J. (2020) · Proceedings - International Conference on Image Processing · doi:10.1109/icip40778.2020.9191228 · Cited by 14

Imaging Biomarkers and Gene Expression Data Correlation Framework for Lung Cancer Radiogenomics Analysis Based on Deep Learning

Sui, D., Guo, M., Ma, X., Baptiste, J., & Zhang, L. (2021) · IEEE Access · doi:10.1109/access.2021.3071466 · Cited by 14

Exploiting Relationship for Complex-scene Image Generation

Hua, T., Zheng, H., Bai, Y., Zhang, W., Zhang, X.-P. S., & Mei, T. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i2.16250 · Cited by 14

Speech Fusion to Face: Bridging the Gap Between Human's Vocal Characteristics and Facial Imaging

Bai, Y., Ma, T., Wang, L., & Zhang, Z. (2022) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3503161.3547850 · Cited by 14

MIGT: Multi-modal image inpainting guided with text

Li, A., Zhao, L., Zuo, Z., Wang, Z., Xing, W., & Lu, D. (2022) · Neurocomputing · doi:10.1016/j.neucom.2022.11.074 · Cited by 15

A deep multimodal generative and fusion framework for class-imbalanced multimodal data

Li, Q., Yu, G., Wang, J., & Liu, Y. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-09227-4 · Cited by 14

Text2Chart: A Multi-staged Chart Generator from Natural Language Text

Rashid, M. M., Jahan, H. K., Huzzat, A., Rahul, R. A., Zakir, T. B., Meem, F., Mukta, M. S. H., & Shatabda, S. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-05936-0_1 · Cited by 19

Attributes Aware Face Generation with Generative Adversarial Networks

Yuan, Z., Zhang, J., Shan, S., & Chen, X. (2021) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr48806.2021.9412022 · Cited by 14

Generative Adversarial Network for Text-to-Face Synthesis and Manipulation

Zhou, Y. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3481026 · Cited by 17

Image-to-Image Translation with Text GuidancePreprint

Li, B., Qi, X., Torr, P. H. S., & Lukasiewicz, T. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2002.05235 · Cited by 14

Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution

Yuan, X., Baek, J., Xu, K., Tov, O., & Fei, H. (2024) · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) · doi:10.1109/wacvw60836.2024.00059 · Cited by 14

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

DE-GAN: Text-to-image synthesis with dual and efficient fusion model

Jiang, B., Zeng, W., Yang, C., Wang, R., & Zhang, B. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-16377-8 · Cited by 13

DreamStone: Image as a Stepping Stone for Text-Guided 3D Shape Generation

Liu, Z., Dai, P., Li, R., Qi, X., & Fu, C. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2023.3321329 · Cited by 13

Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning

Zhang, C., Zhang, X., Sotthiwat, E., Xu, Y., Liu, P., Zhen, L., & Liu, Y. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00473 · Cited by 16

Exploring Progress in Text-to-Image Synthesis: An In-Depth Survey on the Evolution of Generative Adversarial Networks

Habib, M. A., Wadud, M. A. H., Patwary, M. F. K., Rahman, M. M., Mridha, M. F., Okuyama, Y., & Shin, J. (2024) · IEEE Access · doi:10.1109/access.2024.3435541 · Cited by 19

Word2Scene: Efficient remote sensing image scene generation with only one word via hybrid intelligence and low-rank representation

Ren, J., Liu, W., Chen, J., Yin, S., & Tao, Y. (2024) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2024.11.002 · Cited by 13

Review of Recent Deep Learning Based Methods for Image-Text Retrieval

Chen, J., Zhang, L., Bai, C., & Kpalma, K. (2020) · IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) · doi:10.1109/mipr49039.2020.00042 · Cited by 15

An Improved Technique for Face Age Progression and Enhanced Super-Resolution with Generative Adversarial Networks

Sharma, N., Sharma, R., & Jindal, N. (2020) · Wireless Personal Communications · doi:10.1007/s11277-020-07473-1 · Cited by 14

Synthetic medical image generator for data augmentation and anonymisation based on generative adversarial network for glioblastoma tumors growth prediction

Kamli, A., Saouli, R., Batatia, H., Naceur, M. B., & Youkana, I. (2020) · IET Image Processing · doi:10.1049/iet-ipr.2020.1141 · Cited by 13

FA-GAN: Feature-Aware GAN for Text to Image Synthesis

Jeon, E., Kim, K., & Kim, D. (2021) · Proceedings - International Conference on Image Processing · doi:10.1109/icip42928.2021.9506172 · Cited by 13

A Survey on Multimodal Deep Learning for Image Synthesis

Luo, S. (2021) · International Conference on Innovation in Artificial Intelligence (ICIAI) · doi:10.1145/3461353.3461388 · Cited by 13

A Brief Survey of text driven image generation and maniulation

Lee, H., Ullah, U., Lee, J.-S., Jeong, B., & Choi, H. (2021) · IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) · doi:10.1109/icce-asia53811.2021.9641929 · Cited by 13

Climate futures: Machine learning from cli-fi

Sánchez-Querubín, N., & Niederer, S. (2022) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/13548565221135715 · Cited by 19

M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers

Fu, T.-J., Wang, X. E., Grafton, S. T., Eckstein, M. P., & Wang, W. Y. (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/cvpr52688.2022.01026 · Cited by 13

DE-net: Dynamic Text-Guided Image Editing Adversarial Networks

Tao, M., Bao, B., Tang, H., Wu, F., Wei, L., & Tian, Q. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v37i8.26189 · Cited by 15

CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing

Chen, X., Ni, B., Liu, N., Liu, Z., Jiang, Y., Truong, L., & Tian, Q. C. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58621-8_39 · Cited by 13

Learning to Globally Edit Images with Textual DescriptionPreprint

Wang, H., Williams, J. D., & Kang, S. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1810.05786 · Cited by 13

TGAN: Deep Tensor Generative Adversarial Nets for Large Image GenerationPreprint

Ding, Z., Liu, X.-Y., Yin, M., & Kong, L. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1901.09953 · Cited by 25

Compatible and Diverse Fashion Image InpaintingPreprint

Han, X., Wu, Z., Huang, W., Scott, M. R., & Davis, L. S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.01096 · Cited by 13

Rethinking Spatially-Adaptive NormalizationPreprint

Tan, Z., Chen, D., Chu, Q., Chai, M., Liao, J., He, M., Yuan, L., & Yu, N. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.02867 · Cited by 16

Fine-Grained Cross-Modal Fusion Based Refinement for Text-to-Image Synthesis

Sun, H., Yang, W., Liu, H., & Qian, B. (2023) · Chinese Journal of Electronics · doi:10.23919/cje.2022.00.227 · Cited by 12

ShapeScaffolder: Structure-Aware 3D Shape Generation from Text

Tian, X., Yang, Y., & Wu, Q. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00256 · Cited by 15

A 3D Point Cloud Classification Method Based on Adaptive Graph Convolution and Global Attention

Yue, Y., Li, X., & Peng, Y. (2024) · Sensors · doi:10.3390/s24020617 · Cited by 12

An Overview of Text to Visual Generation Using GAN

Mathew, S. (2024) · Indian Journal of Image Processing and Recognition · doi:10.54105/ijipr.a8041.04030424 · Cited by 12

Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation

Huang, S., Gong, B., Feng, Y., Chen, X., Fu, Y., Liu, Y., & Wang, 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/cvpr52733.2024.00745 · Cited by 18

ConceptExpress: Harnessing Diffusion Models for Single-Image Unsupervised Concept Extraction

Hao, S., Han, K., Lv, Z., Zhao, S., & Wong, K. K. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73202-7_13 · Cited by 12

Cross-Modality Personalization for Retrieval

Murrugarra-Llerena, N., & Kovashka, A. (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.2019.00659 · Cited by 12

Exploring Unlabeled Faces for Novel Attribute Discovery

Bahng, H., Chung, S., Yoo, S., & Choo, J. (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/cvpr42600.2020.00586 · Cited by 12

Enhancing Cross-Modal Retrieval Based on Modality-Specific and Embedding Spaces

Yanagi, R., Togo, R., Ogawa, T., & Haseyama, M. (2020) · IEEE Access · doi:10.1109/access.2020.2995815 · Cited by 12

Attentive Generative Adversarial Network To Bridge Multi-Domain Gap For Image Synthesis

Wang, M., Lang, C., Liang, L., Lyu, G., Feng, S., & Wang, T. (2020) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme46284.2020.9102761 · Cited by 12

Hybrid deep neural network for Bangla automated image descriptor

Jishan, M. A., Mahmud, K. R., Azad, A. K. A., Alam, M. S., & Khan, A. M. (2020) · International Journal of Advances in Intelligent Informatics · doi:10.26555/ijain.v6i2.499 · Cited by 12

Align or attend? Toward More Efficient and Accurate Spoken Word Discovery Using Speech-to-Image Retrieval

Wang, L., Wang, X., Hasegawa‐Johnson, M., Scharenborg, O., & Dehak, N. (2021) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp39728.2021.9414418 · Cited by 12

Multimodal-adaptive hierarchical network for multimedia sequential recommendation

Han, T., Niu, S., & Wang, P. (2021) · Pattern Recognition Letters · doi:10.1016/j.patrec.2021.08.023 · Cited by 12

Virtual magnetic resonance lumbar spine images generated from computed tomography images using conditional generative adversarial networks

Gotoh, M., Nakaura, T., Funama, Y., Morita, K., Sakabe, D., Uetani, H., Nagayama, Y., Kidoh, M., Hatemura, M., Masuda, T., et al. (2021) · Radiography · doi:10.1016/j.radi.2021.10.006 · Cited by 12

JPD-SE: High-Level Semantics for Joint Perception-Distortion Enhancement in Image Compression

Duan, S., Chen, H., & Gu, J. (2022) · IEEE Transactions on Image Processing · doi:10.1109/tip.2022.3180208 · Cited by 12

Conditional Generative Adversarial Networks for Domain Transfer: A Survey

Zhou, G., Fan, Y., Shi, J., Lu, Y., & Shen, J. (2022) · Applied Sciences · doi:10.3390/app12168350 · Cited by 12

Expression-tailored talking face generation with adaptive cross-modal weighting

Zeng, D., Zhao, S., Zhang, J., Liu, H., & Li, K. (2022) · Neurocomputing · doi:10.1016/j.neucom.2022.09.025 · Cited by 12

LS-GAN: Iterative Language-based Image Manipulation via Long and Short Term Consistency Reasoning

Cong, G., Li, L., Liu, Z., Tu, Y., Qin, W., Zhang, S., Yan, C., Wang, W., & Jiang, B. (2022) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3503161.3548206 · Cited by 12

Multi-Step Structure Image Inpainting Model with Attention Mechanism

Cai, R., Li, X., & Yang, F. O. (2023) · Sensors · doi:10.3390/s23042316 · Cited by 12

Word self-update contrastive adversarial networks for text-to-image synthesis

Xiao, J., Sun, Y., & Bi, X. (2023) · Neural Networks · doi:10.1016/j.neunet.2023.08.038 · Cited by 13

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images

Yu, C., Lu, G., Zeng, Y., Sun, J., Liang, X., Li, H., Xu, Z., Xu, S., Zhang, W., & Xu, H. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01406 · Cited by 16

Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis

Park, M.-H., Yun, J., Choi, S.-H., & Choo, J. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00698 · Cited by 14

Fashion Attributes-to-Image Synthesis Using Attention-Based Generative Adversarial Network

Lee, H., & Lee, S. (2019) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2019.00055 · Cited by 12

Image Synthesis from Locally Related Texts

Niu, T., Feng, F., Li, L., & Wang, X. (2020) · International Conference on Multimedia Retrieval · doi:10.1145/3372278.3390684 · Cited by 12

VICTR: Visual Information Captured Text Representation for Text-to-Vision Multimodal Tasks

Han, C., Long, S., Luo, S., Wang, K., & Poon, J. (2020) · International Conference on Computational Linguistics · doi:10.18653/v1/2020.coling-main.277 · Cited by 12

Drawgan: Text to Image Synthesis with Drawing Generative Adversarial Networks

Zhang, Z., Zhou, J., Yu, W., & Jiang, N. (2021) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp39728.2021.9414166 · Cited by 12

Generative Adversarial Network for Text-to-Face Synthesis and Manipulation with Pretrained BERT Model

Zhou, Y., & Shimada, N. (2021) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg52635.2021.9666791 · Cited by 14

Fine-grained talking face generation with video reinterpretation

Huang, X., Wang, M., & Gong, M. (2021) · The Visual Computer · doi:10.1007/s00371-020-01982-7 · Cited by 11

PanoGen++: Domain-adapted text-guided panoramic environment generation for vision-and-language navigation

Wang, S., Zhou, D., Xie, L., Xu, C., Yan, Y., & Yin, E. (2025) · Neural Networks · doi:10.1016/j.neunet.2025.107320 · Cited by 11

Text-to-Metaverse: Towards a Digital Twin-Enabled Multimodal Conditional Generative Metaverse

Elhagry, A. (2023) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3581783.3613432 · Cited by 11

Text-to-Image Generation for Abstract Concepts

Liao, J., Chen, X., Fu, Q., Du, L., He, X., Wang, X., Han, S., & Zhang, D. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i4.28122 · Cited by 19

Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks

Zou, S., Tang, J., Zhou, Y., He, J., Zhao, C., Zhang, R., Hu, Z., & Sun, X. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i7.28622 · Cited by 16

Layout-Agnostic Scene Text Image Synthesis with Diffusion Models

Zhangli, Q., Jiang, J., Liu, D., Yu, L., Dai, X., Ramchandani, A., Pang, G., Metaxas, D., & Krishnan, 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/cvpr52733.2024.00716 · Cited by 13

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 21

Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation

Wang, J., Sun, Z., Tan, Z., Chen, X., Chen, W., Li, H., Zhang, C., & Song, 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/cvpr52733.2024.00807 · Cited by 20

Integrating deformable CNN and attention mechanism into multi-scale graph neural network for few-shot image classification

Liu, Y., Xiao, F., Zheng, X., Deng, W., Ma, H., Su, X., & Wu, L. (2025) · Scientific Reports · doi:10.1038/s41598-025-85467-4 · Cited by 11

Surgical text-to-image generation

Nwoye, C. I., Bose, R., Elgohary, K., Arboit, L., Carlino, G., Lavanchy, J. L., Mascagni, P., & Padoy, N. (2025) · Pattern Recognition Letters · doi:10.1016/j.patrec.2025.02.002 · Cited by 16

Generation of Royalty-Free Images with NLP-Based Text Encoding and Generative adversarial networks

Barbadaker, A., Khadse, M., Shaikh, S., & Kulkarni, S. (2023) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt56998.2023.10307047

AttnGAN: Realistic Text-to-Image Synthesis with Attentional Generative Adversarial Networks

Mathesul, S., Bhutkar, G., & Rambhad, A. (2022) · Lecture notes in computer science · doi:10.1007/978-3-030-98388-8_35 · Cited by 5

Text to Image Generation Based on Adaptive Attention

Chen, Y., Bao, F., Shao, J., Yang, J., Wang, Y., & Zhao, T. (2024) · Lecture notes in computer science · doi:10.1007/978-981-96-0125-7_11

Text to Realistic Image Generation with Attentional Concatenation Generative Adversarial Networks

Li, L., Sun, Y., Hu, F., Zhou, T., Xi, X., & Ren, J. (2020) · Discrete Dynamics in Nature and Society · doi:10.1155/2020/6452536 · Cited by 7

Text to Image Generation Using Attentional Generative Adversarial Network

Rao, S. B., Shetty, S. S., Singh, C., Srinivas, P. M., & Bekal, A. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-47221-3_7