Naveen, S.,
Ram Kiran, M.S.,
Indupriya, M.,
Manikanta, T.V.,
Sudeep, P.V.,
Transformer models for enhancing AttnGAN based text to image
generation,
IVC(115), 2021, pp. 104284.
Elsevier DOI
2110
Generative Adversarial Networks (GANs),
Natural Language Processing (NLP), Text to image synthesis,
Attention mechanism
BibRef
Dalmaz, O.[Onat],
Yurt, M.[Mahmut],
Çukur, T.[Tolga],
ResViT: Residual Vision Transformers for Multimodal Medical Image
Synthesis,
MedImg(41), No. 10, October 2022, pp. 2598-2614.
IEEE DOI
2210
Transformers, Biomedical imaging, Subspace constraints,
Task analysis, Image synthesis, Magnetic resonance imaging, unified
BibRef
Zhang, X.[Xin],
Jiao, W.T.[Wen-Tao],
Wang, B.[Bing],
Tian, X.D.[Xue-Dong],
CT-GAN: A conditional Generative Adversarial Network of transformer
architecture for text-to-image,
SP:IC(115), 2023, pp. 116959.
Elsevier DOI
2306
Generative Adversarial Networks (GANs), Text-to-image,
Transformer, Filter module, Shift self-attention
BibRef
Sortino, R.[Renato],
Palazzo, S.[Simone],
Rundo, F.[Francesco],
Spampinato, C.[Concetto],
Transformer-based image generation from scene graphs,
CVIU(233), 2023, pp. 103721.
Elsevier DOI
2307
BibRef
Earlier: A1, A2, A4, Only:
Sortino, R.[Renato],
Palazzo, S.[Simone],
Spampinato, C.[Concetto],
Transforming Image Generation from Scene Graphs,
ICPR22(4118-4124)
IEEE DOI
2212
Scene graphs, Transformers, Generative models, Conditional image generation.
Visualization, Image synthesis, Semantics, Process control, Genomics,
Rendering (computer graphics)
BibRef
Wang, Z.C.[Zi-Cong],
Ren, Q.[Qiang],
Wang, J.L.[Jun-Li],
Yan, C.G.[Chun-Gang],
Jiang, C.J.[Chang-Jun],
Mush: Multi-scale Hierarchical Feature Extraction for Semantic Image
Synthesis,
ACCV22(VII:185-201).
Springer DOI
2307
BibRef
Wei, Z.P.[Zhi-Peng],
Chen, J.J.[Jing-Jing],
Goldblum, M.[Micah],
Wu, Z.X.[Zu-Xuan],
Goldstein, T.[Tom],
Jiang, Y.G.[Yu-Gang],
Davis, L.S.[Larry S],
Towards Transferable Adversarial Attacks on Image and Video
Transformers,
IP(32), 2023, pp. 6346-6358.
IEEE DOI
2311
Image recognition, Codes, Perturbation methods,
Computational modeling, Boosting, Data models, Adversarial attack and defense
BibRef
Wei, Z.P.[Zhi-Peng],
Chen, J.J.[Jing-Jing],
Wu, Z.X.[Zu-Xuan],
Jiang, Y.G.[Yu-Gang],
Adaptive Cross-Modal Transferable Adversarial Attacks From Images to
Videos,
PAMI(46), No. 5, May 2024, pp. 3772-3783.
IEEE DOI
2404
BibRef
Earlier:
Cross-Modal Transferable Adversarial Attacks from Images to Videos,
CVPR22(15044-15053)
IEEE DOI
2210
Videos, Adaptation models, Perturbation methods,
Feature extraction, Computational modeling, Glass box, Closed box,
transferable attack
BibRef
Bahani, M.[Mourad],
El Ouaazizi, A.[Aziza],
Maalmi, K.[Khalil],
The effectiveness of T5, GPT-2, and BERT on text-to-image generation
task,
PRL(173), 2023, pp. 57-63.
Elsevier DOI
2310
Deep learning, Generative adversarial networks,
Text-to-image generation, Natural language processing, Transformer-based models
BibRef
Su, S.[Sitong],
Zhu, J.[Junchen],
Gao, L.[Lianli],
Song, J.K.[Jing-Kuan],
Utilizing Greedy Nature for Multimodal Conditional Image Synthesis in
Transformers,
MultMed(26), 2024, pp. 2354-2366.
IEEE DOI
2402
Transformers, Image synthesis, Visualization, Image segmentation,
Task analysis, Image reconstruction, Computer architecture,
transformer
BibRef
Cao, S.Y.[Shi-Yue],
Yin, Y.Q.[Yue-Qin],
Huang, L.H.[Liang-Hua],
Liu, Y.[Yu],
Zhao, X.[Xin],
Zhao, D.L.[De-Li],
Huang, K.Q.[Kai-Qi],
Efficient-VQGAN: Towards High-Resolution Image Generation with
Efficient Vision Transformers,
ICCV23(7334-7343)
IEEE DOI
2401
BibRef
Yun, J.[Jooyeol],
Lee, S.[Sanghyeon],
Park, M.H.[Min-Ho],
Choo, J.[Jaegul],
iColoriT: Towards Propagating Local Hints to the Right Region in
Interactive Colorization by Leveraging Vision Transformer,
WACV23(1787-1796)
IEEE DOI
2302
Convolutional codes, Image color analysis, Stacking, Gray-scale,
Transformers, Algorithms: Computational photography, image and video synthesis
BibRef
Lin, K.E.[Kai-En],
Yen-Chen, L.[Lin],
Lai, W.S.[Wei-Sheng],
Lin, T.Y.[Tsung-Yi],
Shih, Y.C.[Yi-Chang],
Ramamoorthi, R.[Ravi],
Vision Transformer for NeRF-Based View Synthesis from a Single Input
Image,
WACV23(806-815)
IEEE DOI
2302
Shape, Pose estimation, Feature extraction, Transformers, Cameras,
Algorithms: Computational photography,
3D computer vision
BibRef
Lezama, J.[José],
Chang, H.[Huiwen],
Jiang, L.[Lu],
Essa, I.[Irfan],
Improved Masked Image Generation with Token-Critic,
ECCV22(XXIII:70-86).
Springer DOI
2211
Generative transformer.
BibRef
Kong, X.[Xiang],
Jiang, L.[Lu],
Chang, H.[Huiwen],
Zhang, H.[Han],
Hao, Y.[Yuan],
Gong, H.F.[Hai-Feng],
Essa, I.[Irfan],
BLT: Bidirectional Layout Transformer for Controllable Layout
Generation,
ECCV22(XVII:474-490).
Springer DOI
2211
BibRef
Kong, D.[Daehyeon],
Kong, K.[Kyeongbo],
Kim, K.[Kyunghun],
Min, S.J.[Sung-Jun],
Kang, S.J.[Suk-Ju],
Image-Adaptive Hint Generation via Vision Transformer for Outpainting,
WACV22(4029-4038)
IEEE DOI
2202
Image synthesis, Neural networks,
Complex networks, Benchmark testing, Transformers,
Vision Systems and Applications
BibRef
Maharana, A.[Adyasha],
Hannan, D.[Darryl],
Bansal, M.[Mohit],
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story
Continuation,
ECCV22(XXXVII:70-87).
Springer DOI
2211
BibRef
Kim, T.[Taehoon],
Song, G.[Gwangmo],
Lee, S.[Sihaeng],
Kim, S.[Sangyun],
Seo, Y.[Yewon],
Lee, S.[Soonyoung],
Kim, S.H.[Seung Hwan],
Lee, H.L.[Hong-Lak],
Bae, K.[Kyunghoon],
L-Verse: Bidirectional Generation Between Image and Text,
CVPR22(16505-16515)
IEEE DOI
2210
Representation learning, Training, Scalability,
Transformers, Robustness,
Scene analysis and understanding
BibRef
Wang, J.A.[Jian-An],
Lu, G.S.[Guan-Song],
Xu, H.[Hang],
Li, Z.G.[Zhen-Guo],
Xu, C.J.[Chun-Jing],
Fu, Y.W.[Yan-Wei],
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise
Semantic Alignment and Generation,
CVPR22(10697-10707)
IEEE DOI
2210
Image synthesis, Semantics, Transformers, Pattern recognition,
Task analysis, Image and video synthesis and generation, Vision+language
BibRef
Liu, Z.Z.[Zheng-Zhe],
Wang, Y.[Yi],
Qi, X.J.[Xiao-Juan],
Fu, C.W.[Chi-Wing],
Towards Implicit Text-Guided 3D Shape Generation,
CVPR22(17875-17885)
IEEE DOI
2210
Codes, Shape, Image color analysis, Benchmark testing, Transformers,
Vision+language, 3D from single images
BibRef
Wu, F.X.[Fu-Xiang],
Liu, L.[Liu],
Hao, F.S.[Fu-Sheng],
He, F.X.[Feng-Xiang],
Cheng, J.[Jun],
Text-to-Image Synthesis based on Object-Guided Joint-Decoding
Transformer,
CVPR22(18092-18101)
IEEE DOI
2210
Visualization, Image coding, Image synthesis, Layout, Semantics,
Natural languages, Transformers, Vision+language,
Image and video synthesis and generation
BibRef
Wang, X.P.[Xin-Peng],
Yeshwanth, C.[Chandan],
Nießner, M.[Matthias],
SceneFormer: Indoor Scene Generation with Transformers,
3DV21(106-115)
IEEE DOI
2201
Layout, Transformers, Task analysis, scene generation, transformer,
text conditioned, indoor scene, deep learning, machine learning,
virtual reality
BibRef
Mariotti, O.[Octave],
Aodha, O.M.[Oisin Mac],
Bilen, H.[Hakan],
ViewNet: Unsupervised Viewpoint Estimation from Conditional
Generation,
ICCV21(10398-10408)
IEEE DOI
2203
Training, Annotations, Estimation, Benchmark testing, Transformers,
Representation learning, Transfer/Low-shot/Semi/Unsupervised Learning
BibRef
Ribeiro, L.S.F.[Leo Sampaio Ferraz],
Bui, T.[Tu],
Collomosse, J.[John],
Ponti, M.[Moacir],
Scene Designer:
A Unified Model for Scene Search and Synthesis from Sketch,
SHE21(2424-2433)
IEEE DOI
2112
Visualization, Correlation, Digital images, Layout,
Transformer cores, Search problems, Transformers
BibRef
Yang, C.F.[Cheng-Fu],
Fan, W.C.[Wan-Cyuan],
Yang, F.E.[Fu-En],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
LayoutTransformer: Scene Layout Generation with Conceptual and
Spatial Diversity,
CVPR21(3731-3740)
IEEE DOI
2111
Visualization, Spatial diversity, Layout, Semantics,
Fitting, Genomics
BibRef
Lin, C.,
Yumer, E.,
Wang, O.,
Shechtman, E.,
Lucey, S.,
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image
Compositing,
CVPR18(9455-9464)
IEEE DOI
1812
Training, Generators, Image generation, Manifolds,
Generative adversarial networks, Games
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Merging Views, Object Insertion in Image .