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

Level of Agreement between Emotions Generated by Artificial Intelligence and Human Evaluation: A Methodological Proposal

Carrasco, M., González-Martín, C., Navajas-Torrente, S., & Dastres, R. (2024) · Electronics · doi:10.3390/electronics13204014 · Cited by 6

LoRA Fusion: Enhancing Image Generation

Choi, D., Im, J., & Sung, Y. (2024) · Mathematics · doi:10.3390/math12223474 · Cited by 6

CustomSketching: Sketch Concept Extraction for Sketch‐based Image Synthesis and Editing

Xiao, C., & Fu, H. (2024) · Computer Graphics Forum · doi:10.1111/cgf.15247 · Cited by 8

Novel architecture based on dual‐view fusion for underground hidden distresses detection

Pei, L., Mao, D., Ding, J., Tang, Q., Wang, D., & He, D. (2025) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.70053 · Cited by 6

Generative adversarial networks with augmentation and penalty

Gan, Y., Liu, K., Ye, M., & Qian, Y. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.06.015 · Cited by 6

Scene Retrieval for Video Summarization Based on Text-to-Image gan

Yanagi, R., Togo, R., Ogawa, T., & Haseyama, M. (2019) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2019.8803177 · Cited by 6

Another AI? Artificial Imagination for Artistic Mind Map Generation

Liu, R., Chen, B., Guo, X., Chen, M., Qiu, Z., & He, X. (2019) · International Journal of Multimedia Data Engineering and Management · doi:10.4018/ijmdem.2019070103 · Cited by 6

Progressive Semantic Image Synthesis via Generative Adversarial Network

Yue, K., Li, Y., & Li, H. (2019) · IEEE International Conference on Visual Communications and Image Processing (VCIP) · doi:10.1109/vcip47243.2019.8966069 · Cited by 6

SHS-GAN: Synthetic Enhancement of a Natural Hyperspectral Database

Hauser, J., Shtendel, G., Zeligman, A., Averbuch, A., & Nathan, M. (2021) · IEEE Transactions on Computational Imaging · doi:10.1109/tci.2021.3079818 · Cited by 6

Realistic face generation using a textual description

Kumar, A., Mudgil, A., Dodeja, N., & Vishwakarma, D. K. (2021) · International Conference on Computing Methodologies and Communication (ICCMC) · doi:10.1109/iccmc51019.2021.9418040 · Cited by 6

Multi-modal image synthesis combining content-style adaptive normalization and attentive normalization

Zhang, H., Pu, Y., Nie, R., Xu, D., Zhao, Z., & Qian, W. (2021) · Computers & Graphics · doi:10.1016/j.cag.2021.04.030 · Cited by 6

Text To Image Synthesis With Erudite Generative Adversarial Networks

Zhang, Z., Yu, W., Jiang, N., & Zhou, J. (2021) · Proceedings - International Conference on Image Processing · doi:10.1109/icip42928.2021.9506487 · Cited by 6

Adversarial Learning with Mask Reconstruction for Text-Guided Image Inpainting

Wu, X., Xie, Y., Zeng, J., Yang, Z., Yu, Y., Li, Q., & Liu, W. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3475506 · Cited by 6

Exploiting appearance transfer and multi-scale context for efficient person image generation

Shen, C., Wang, P., & Tang, W. (2021) · Pattern Recognition · doi:10.1016/j.patcog.2021.108451 · Cited by 7

Generative Adversarial Network Including Referring Image Segmentation For Text-Guided Image Manipulation

Watanabe, Y., Togo, R., Maeda, K., Ogawa, T., & Haseyama, M. (2022) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp43922.2022.9746970 · Cited by 6

Cross-modal Representation Learning and Relation Reasoning for Bidirectional Adaptive Manipulation

Li, L., Fan, K., & Yuan, C. (2022) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2022/447 · Cited by 6

Multiscale Structure and Texture Feature Fusion for Image Inpainting

Li, L., Chen, M., Shi, H., Duan, Z., & Xiong, X. (2022) · IEEE Access · doi:10.1109/access.2022.3196021 · Cited by 6

Learning Dynamic Prior Knowledge for Text-to-Face Pixel Synthesis

Peng, J., Du, X., Zhou, Y., He, J., Shen, Y., Sun, X., & Ji, R. (2022) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3503161.3547818 · Cited by 6

Talk2Face: A Unified Sequence-based Framework for Diverse Face Generation and Analysis Tasks

Li, Y., Hou, X., Zhao, Z., Shen, L., Yang, X., & Yan, K. (2022) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3503161.3548205 · Cited by 6

Clustering Generative Adversarial Networks for Story Visualization

Li, B., Torr, P. H. S., & Lukasiewicz, T. (2022) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3503161.3548034 · Cited by 6

Object detection via inner-inter relational reasoning network

Liu, H., You, X., Wang, T., & Li, Y. (2022) · Image and Vision Computing · doi:10.1016/j.imavis.2022.104615 · Cited by 6

CD-GAN: Commonsense-Driven Generative Adversarial Network with Hierarchical Refinement for Text-to-Image Synthesis

Zhang, G., Xu, N., Yan, C., Zheng, B., Duan, Y., Lv, B., & Liu, A.-A. (2023) · Intelligent Computing · doi:10.34133/icomputing.0017 · Cited by 6

Text-to-Sketch Synthesis via Adversarial Network

Martis, J. E., Sannidhan, M. S., Pradhan, M. R., Desai, U., & Acharya, B. (2023) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2023.038847 · Cited by 6

Learning to Model Multimodal Semantic Alignment for Story Visualization

Li, B., & Lukasiewicz, T. (2022) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2022.findings-emnlp.346 · Cited by 6

LC-VTON: Length Controllable Virtual Try-on Network

Yao, J., & Zheng, H. (2023) · IEEE Access · doi:10.1109/access.2023.3306449 · Cited by 6

Beware of Overcorrection: Scene-induced Commonsense Graph for Scene Graph Generation

Chen, L., Lu, J., Song, Y., Wang, C., & He, G. (2023) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3581783.3612210 · Cited by 6

Text-Driven Generative Domain Adaptation with Spectral Consistency Regularization

Liu, Z., Li, L., Xiao, J., Zha, Z.-J., & Huang, Q. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00646 · Cited by 6

Hyperspectral Image Classification Based on Mutually Guided Image Filtering

Zhan, Y., Hu, D., Yu, X., & Wang, Y. (2024) · Remote Sensing · doi:10.3390/rs16050870 · Cited by 6

ISF-GAN: Imagine, Select, and Fuse with GPT-Based Text Enrichment for Text-to-Image Synthesis

Sheng, Y., Tao, M., Wang, J., & Bao, B. (2024) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3650033 · Cited by 6

Fine-grained facial image-to-image translation with an attention based pipeline generative adversarial framework

Zhao, Y., Zheng, Z., Wang, C., Gu, Z., Fu, M., Yu, Z., Zheng, H., Wang, N., & Zheng, B. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-019-08346-x · Cited by 6

MCA-GAN: Text-to-Image Generation Adversarial Network Based on Multi-Channel Attention

Sun, J., & Zhang, B. (2019) · IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) · doi:10.1109/iaeac47372.2019.8997584 · Cited by 6

Scene Retrieval Using Text-to-image GAN-based Visual Similarities and Image-to-text Model-based Textual Similarities

Yanagi, R., Togo, R., Ogawa, T., & Haseyama, M. (2019) · IEEE Global Conference on Consumer Electronics (GCCE) · doi:10.1109/gcce46687.2019.9015366 · Cited by 6

MetaCGAN: A Novel GAN Model for Generating High Quality and Diversity Images with Few Training Data

Ma, Y., Zhong, G., Wang, Y., & Liu, W. (2020) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn48605.2020.9207073 · Cited by 6

Volumetric Transformer Networks

Kim, S., Susstrunk, S. E., & Salzmann, M. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58604-1_34 · Cited by 6

Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative Models

Togo, R., Kotera, M., Ogawa, T., & Haseyama, M. (2021) · IEEE Access · doi:10.1109/access.2021.3069876 · Cited by 7

Reconstruction of Generative Adversarial Networks in Cross Modal Image Generation with Canonical Polyadic Decomposition

Ma, R., Lou, J., Li, P., & Gao, J. (2021) · Wireless Communications and Mobile Computing · doi:10.1155/2021/8868781 · Cited by 6

Bangla Printed Character Generation from Handwritten Character Using GAN

Abedin, M. M.-H.-Z., Ghosh, T., Mehrub, T., & Yousuf, M. A. (2022) · Studies in fuzziness and soft computing · doi:10.1007/978-3-030-92026-5_9 · Cited by 6

Background Layout Generation and Object Knowledge Transfer for Text-to-Image Generation

Chen, Z., Mao, Z., Fang, S., & Hu, B. (2022) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3503161.3548154 · Cited by 6

UniCoRN: A Unified Conditional Image Repainting Network

Sun, J., Weng, S., Chang, Z., Li, S., & Shi, 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/cvpr52688.2022.01108 · Cited by 6

CanvasGAN: A Simple Baseline for Text to Image Generation by Incrementally Patching a Canvas

Singh, A., & Agrawal, S. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-17795-9_7 · Cited by 6

Same Same but Different: Augmentation of Tiny Industrial Datasets using Generative Adversarial Networks

Ntavelis, E., Kastanis, I., Gool, L. V., & Timofte, R. (2020) · IEEE Swiss Conference on Data Science (SDS) · doi:10.1109/sds49233.2020.00011 · Cited by 6

Fully-Featured Attribute TransferPreprint

Xie, D., Yang, M., Deng, C. D., Liu, W., & Tao, D. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.06258 · Cited by 6

Neural Storyboard Artist: Visualizing Stories with Coherent Image SequencesPreprint

Chen, S., Liu, B., Fu, J., Song, R., Jin, Q., Lin, P., Qi, X., Wang, C., & Zhou, J. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1911.10460 · Cited by 6

CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image SynthesisPreprint

Liang, J., Pei, W., & Lu, F. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1912.08562 · Cited by 6

Leveraging Visual Question Answering to Improve Text-to-Image SynthesisPreprint

Frolov, S., Jolly, S., Hees, J., & Dengel, A. R. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2010.14953 · Cited by 6

An Interactive Scene Generation Using Natural Language

Cheng, Y., Shi, Y., Sun, Z., Feng, D., & Dong, L. (2019) · 2019 International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2019.8794327 · Cited by 5

Topic Videolization: A Rumor Detection Method Inspired by Video Forgery Detection Technology

Pang, Y., Zhou, Y., Li, Q., Wei, S., & Xiao, Y. (2025) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2025.3543852 · Cited by 5

RealignDiff: Boosting Text-to-Image Diffusion Model With Coarse-to-Fine Semantic Realignment

Jiang, Z., Fang, G., Han, J., Lu, G., Xu, S., Liao, S., Chang, X., & Liang, X. (2025) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2025.3584554 · Cited by 16

Evaluation of StyleGAN-CLIP Models in Text-to-Image Generation of Faces

Fejjari, A., Abela, A., Tanti, M., & Muscat, A. (2025) · Applied Sciences · doi:10.3390/app15158692 · Cited by 5

DiffCTA: Diffusion model-based non-contrast CT angiography with contrast-enhanced mask guidance

Feng, L., Guo, L., He, W., Ye, X., Pan, Y., Gao, S., & Zhang, R. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.108645 · Cited by 6

Paired-D++ GAN for image manipulation with text

Vo, D. M., & Sugimoto, A. (2022) · Machine Vision and Applications · doi:10.1007/s00138-022-01298-7 · Cited by 5

Feature-Grounded Single-Stage Text-to-Image Generation

Zhou, Y. L., Wang, P., Xiang, L., & Zhang, H. (2023) · Tsinghua Science & Technology · doi:10.26599/tst.2023.9010023 · Cited by 5

How does Text-to-image AI Affect Indie Game Designers and Artists?

Qin, J. (2023) · Journal of innovation and development · doi:10.54097/f7of9f8k · Cited by 5

An improved StyleGAN-based TextToFace model with Local-Global information Fusion

Guo, Q., & Gu, X. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.123698 · Cited by 6

Quality Assessment of AI-Generated Image Based on Cross-modal Correlation

Zhang, Y., Jia, M., Zhou, W., & Yang, Y. (2024) · International Conference on Image Processing and Media Computing (ICIPMC) · doi:10.1109/icipmc62364.2024.10586696 · Cited by 6

Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis

Ohanyan, M., Manukyan, H., Wang, Z., Navasardyan, S., & Shi, 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/cvpr52733.2024.00837 · Cited by 5

SAITI-DCGAN: Self-Attention Based Deep Convolutional Generative Adversarial Networks for Data Augmentation of Infrared Thermal Images

Wu, Z., Wei, C., Xia, Y., & Ji, Z. (2024) · Applied Sciences · doi:10.3390/app142311391 · Cited by 6

Enhancing Integrated Circuit Quality Control: A CNN-Based Approach for Defect Detection in Scanning Acoustic Tomography Images

Jou, Y., Putra, V. P., Silitonga, R. M., Sukwadi, R., & Inderawati, M. M. W. (2025) · Processes · doi:10.3390/pr13030683 · Cited by 5

From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing

Wei, J., Tan, C., Chen, Q., Wu, G., Li, S., Gao, Z., Sun, L., Yu, B., & Guo, R. (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/cvpr52734.2025.01243 · Cited by 5

Let AI Clothe You: Diversified Fashion Generation

Banerjee, R. H., Rajagopal, A. K., Jha, N., Patro, A., & Rajan, A. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-21074-8_7 · Cited by 5

Sentence guided object color change by adversarial learning

Gan, Y., Liu, K., Ye, M., & Qian, Y. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.10.012 · Cited by 5

Inferring spatial relations from textual descriptions of images

Etxano, A. E., Azkune, G., de Lacalle, O. L., Arganda‐Carreras, I., Soroa, A., & Agirre, E. (2021) · Pattern Recognition · doi:10.1016/j.patcog.2021.107847 · Cited by 5

Diverse Audio-to-Image Generation via Semantics and Feature Consistency

Yang, P.-T., Su, F., & Wang, Y.-C. F. (2020) · Cited by 5

This Explains That: Congruent Image–Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks

Pandey, A., Paliwal, B., Dhall, A., Subramanian, R., & Mahapatra, D. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87444-5_4 · Cited by 5

A Multi-Stage Advanced Deep Learning Graphics Pipeline

Harris, M. W., & Semwal, S. K. (2021) · SIGGRAPH Asia Technical Communications · doi:10.1145/3478512.3488609 · Cited by 5

Dialogue Extraction and Translation from Stories on Thirukural Using Verb Cue Quote Content Source Identifiers

Devi, M. S. K., Mahesswari, G. U., & Baskaran, R. (2021) · Smart innovation, systems and technologies · doi:10.1007/978-981-16-4177-0_52 · Cited by 5

An Intelligent Hybrid Text-To-Image Synthesis Model for Generating Realistic Human Faces

Bayoumi, R., Alfonse, M., & Salem, A.-B. M. (2021) · International Conference on Intelligent Computing and Information Systems (ICICIS) · doi:10.1109/icicis52592.2021.9694194 · Cited by 5

Using Generative Adversarial Networks for Conditional Creation of Anime Posters

Sankalpa, D., Ramesh, J., & Zualkernan, I. A. (2022) · IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) · doi:10.1109/iaict55358.2022.9887491 · Cited by 5

A Novel Multimodal Species Distribution Model Fusing Remote Sensing Images and Environmental Features

Zhang, X., Zhou, Y., Peng, P., & Wang, G. (2022) · Sustainability · doi:10.3390/su142114034 · Cited by 7

Assessment of Image Manipulation Using Natural Language Description: Quantification of Manipulation Direction

Watanabe, Y., Togo, R., Maeda, K., Ogawa, T., & Haseyama, M. (2022) · Proceedings - International Conference on Image Processing · doi:10.1109/icip46576.2022.9897900 · Cited by 5

Interactive Image Manipulation with Complex Text Instructions

Morita, R., Zhang, Z., Ho, M. M., & Zhou, J. (2023) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv56688.2023.00111 · Cited by 5

TeCM-CLIP: Text-Based Controllable Multi-attribute Face Image Manipulation

Lou, X., Liu, Y., & Li, X. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-26293-7_5 · Cited by 5

DL-based Generation of facial portraits from diverse data sources

Berrahal, M., & AZIZI, M. (2023) · International Journal of Computing and Digital Systems · doi:10.12785/ijcds/130175 · Cited by 5

GMF-GAN: Gradual multi-granularity semantic fusion GAN for text-to-image synthesis

Jin, D., Li, G., Yu, Q., Yu, L., Cui, J. J., & Qi, M. (2023) · Digital Signal Processing · doi:10.1016/j.dsp.2023.104105 · Cited by 5

MAPD: multi-receptive field and attention mechanism for multispectral pedestrian detection

Zang, Y., Cao, R., Li, H., Hu, W., & Liu, Q. (2023) · The Visual Computer · doi:10.1007/s00371-023-02988-7 · Cited by 5

Environmental Landscape Art Design Based on Visual Neural Network Model in Rural Construction

Wang, L., & He, Y. (2023) · Ecological Chemistry and Engineering S · doi:10.2478/eces-2023-0028 · Cited by 5

Learning Object Consistency and Interaction in Image Generation from Scene Graphs

Zhang, Y., Meng, C., Li, Z., Chen, P., Yang, G., Yang, C., & Sun, L. (2023) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2023/192 · Cited by 5

CLOTHING FASHION IMAGE GENERATION FROM TEXT USING ARTIFICIAL INTELLIGENCE

Shaheen, A., & Iqbal, D. J. (2023) · International Journal of Engineering Applied Sciences and Technology · doi:10.33564/ijeast.2023.v08i02.001 · Cited by 5

Generation of Images from Text Using AI

Yadav, N., Sinha, A., Jain, M., Agrawal, A., & Francis, S. (2024) · International Journal of Engineering and Manufacturing · doi:10.5815/ijem.2024.01.03 · Cited by 5

Multilingual Cross-Modal Image Synthesis with Text-Guided Generative AI

Jindal, D., Kaur, C., Panigrahi, A., Soni, B., Sharma, A., & Singla, S. (2024) · International Conference on Computational Intelligence and Communication Technologies (CCICT) · doi:10.1109/ccict62777.2024.00096 · Cited by 7

Large-Scale Bidirectional Training for Zero-Shot Image Captioning

Kim, T., Marsden, M. A., Ahn, P., Kim, S., Lee, S., Sala, A., & Kim, S. H. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00733 · Cited by 6

PartCraft: Crafting Creative Objects by Parts

Ng, K. W., Zhu, X., Song, Y.-Z., & Xiang, T. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72673-6_23 · Cited by 5

Aesthetic Style Transfer through Text-to-image Synthesis and Image-to-image Translation

Kotera, M., Togo, R., Ogawa, T., & Haseyama, M. (2019) · IEEE Global Conference on Consumer Electronics (GCCE) · doi:10.1109/gcce46687.2019.9015508 · Cited by 5

Image plagiarism detection using GAN - (Generative Adversarial Network)

Gayadhankar, K., Patel, R., Lodha, H., & Shinde, S. K. (2021) · ITM Web of Conferences · doi:10.1051/itmconf/20214003013 · Cited by 5

Text to Image Synthesis based on Multi - Perspective Fusion

Zhang, Z., Fu, C. M., Zhou, J., Yu, W., & Jiang, N. (2021) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn52387.2021.9533925 · Cited by 5

An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog

Wang, X., & Jurgens, D. (2021) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2021.findings-emnlp.276 · Cited by 5

A Review on Generative Adversarial Networks

Mukherjee, S., Agarwala, A., & Agarwala, R. (2022) · Advanced technologies and societal change · doi:10.1007/978-981-16-5090-1_1 · Cited by 5

Learning semantic alignment from image for text-guided image inpainting

Xie, Y., Lin, Z., Yang, Z., Deng, H., Wu, X., Mao, X., Li, Q., & Liu, W. (2022) · The Visual Computer · doi:10.1007/s00371-022-02523-0 · Cited by 5

Give Me a Hand: A Scene-Fit Hand Posture Drawing Aid

Sun, X., Qin, J., Xu, W., & Peng, X. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-05643-7_32 · Cited by 5

Visual content generation from textual description using improved adversarial network

Singh, V., & Tiwary, U. S. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13720-3 · Cited by 5

From External to Internal: Structuring Image for Text-to-Image Attributes Manipulation

Gao, L., Zhao, Q., Zhu, J., Su, S., Cheng, L., & Zhao, L. (2022) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2022.3219677 · Cited by 5

Dynamically Optimized Human Eyes-to-Face Generation via Attribute Vocabulary

Luo, X., He, X., Chen, X., Qing, L., & Chen, H. (2023) · IEEE Signal Processing Letters · doi:10.1109/lsp.2023.3268792 · Cited by 5

Few-shot Domain-Adaptative Visually-fused Event Detection from Text

Moghimifar, F., Shiri, F., Haffari, R., Li, Y.-F., & Nguyen, V. (2023) · International Conference on Information Fusion (FUSION) · doi:10.23919/fusion52260.2023.10224213 · Cited by 5

GrainedCLIP and DiffusionGrainedCLIP: Text-Guided Advanced Models for Fine-Grained Attribute Face Image Processing

Zhu, J., & Mu, L. (2023) · IEEE Access · doi:10.1109/access.2023.3313248 · Cited by 5

Conditional Image Repainting

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