14.5.10.10.2 Adversarial Networks for Image Synthesis, Image Generation

Zhang, H.[Han], Xu, T.[Tao], Li, H.S.[Hong-Sheng], Zhang, S.T.[Shao-Ting], Wang, X.G.[Xiao-Gang], Huang, X.L.[Xiao-Lei], Metaxas, D.N.[Dimitris N.],
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks,
PAMI(41), No. 8, August 2019, pp. 1947-1962.
IEEE DOI 1907
Generators, Image resolution, Training, Image generation, Task analysis, Computational modeling, text-to-image synthesis BibRef

Zhang, H.[Han], Xu, T.[Tao], Li, H.S.[Hong-Sheng],
StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks,
ICCV17(5908-5916)
IEEE DOI 1802
feature extraction, image representation, image resolution, object recognition, realistic images, Training BibRef

Xu, T.[Tao], Zhang, P.C.[Peng-Chuan], Huang, Q.Y.[Qiu-Yuan], Zhang, H.[Han], Gan, Z.[Zhe], Huang, X.L.[Xiao-Lei], He, X.D.[Xiao-Dong],
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks,
CVPR18(1316-1324)
IEEE DOI 1812
Generative adversarial networks, Computational modeling, Image generation, Generators, Semantics, Visualization BibRef

Liu, S.Y.[Song-Yan], Zhao, C.Y.[Chao-Yang], Gao, Y.Z.[Yun-Ze], Wang, J.Q.[Jin-Qiao], Tang, M.[Ming],
Adversarial image generation by combining content and style,
IET-IPR(13), No. 14, 12 December 2019, pp. 2716-2723.
DOI Link 1912
BibRef

Tan, W.R., Chan, C.S., Aguirre, H.E., Tanaka, K.,
Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork,
IP(28), No. 1, January 2019, pp. 394-409.
IEEE DOI 1810
Generators, Image generation, Image quality, Generative adversarial networks, Training, Image resolution, ArtGAN BibRef

Chen, X., Xu, C., Yang, X., Song, L., Tao, D.,
Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer,
IP(28), No. 2, February 2019, pp. 546-560.
IEEE DOI 1811
codecs, image classification, image coding, image reconstruction, rendering (computer graphics), Gated-GAN, adversarial generative networks BibRef

Zhang, L., Gonzalez-Garcia, A., van de Weijer, J.[Joost], Danelljan, M.[Martin], Khan, F.S.[Fahad Shahbaz],
Synthetic Data Generation for End-to-End Thermal Infrared Tracking,
IP(28), No. 4, April 2019, pp. 1837-1850.
IEEE DOI 1901
convolution, feature extraction, feedforward neural nets, image colour analysis, image motion analysis, image sequences, generative networks BibRef

Aggarwal, H.K.[Hemant K.], Mani, M.P.[Merry P.], Jacob, M.[Mathews],
MoDL: Model-Based Deep Learning Architecture for Inverse Problems,
MedImg(38), No. 2, February 2019, pp. 394-405.
IEEE DOI 1902
Image reconstruction, Training data, Training, Optimization, Imaging, Numerical models, Machine learning, Deep learning, convolutional neural network BibRef

Regmi, K.[Krishna], Borji, A.[Ali],
Cross-view image synthesis using geometry-guided conditional GANs,
CVIU(187), 2019, pp. 102788.
Elsevier DOI 1909
BibRef
Earlier:
Cross-View Image Synthesis Using Conditional GANs,
CVPR18(3501-3510)
IEEE DOI 1812
Synthesis, GANs, Cross-view, View-translation, Homography. Image segmentation, Task analysis, Generators, Generative adversarial networks, Image generation, Semantics BibRef

Guo, Y.[Yong], Chen, Q.[Qi], Chen, J.[Jian], Wu, Q.Y.[Qing-Yao], Shi, Q.F.[Qin-Feng], Tan, M.K.[Ming-Kui],
Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis,
MultMed(21), No. 11, November 2019, pp. 2726-2737.
IEEE DOI 1911
Image resolution, Generative adversarial networks, Training, Data mining, Feature extraction, autoencoder BibRef

Cao, J.Z.[Jie-Zhang], Guo, Y.[Yong], Wu, Q.Y.[Qing-Yao], Shen, C.H.[Chun-Hua], Huang, J.Z.[Jun-Zhou], Tan, M.K.[Ming-Kui],
Improving Generative Adversarial Networks With Local Coordinate Coding,
PAMI(44), No. 1, January 2022, pp. 211-227.
IEEE DOI 2112
Manifolds, Generative adversarial networks, Semantics, Encoding, Sampling methods, Generators, generalization bound BibRef

Li, Y., Tang, S., Zhang, R., Zhang, Y., Li, J., Yan, S.,
Asymmetric GAN for Unpaired Image-to-Image Translation,
IP(28), No. 12, December 2019, pp. 5881-5896.
IEEE DOI 1909
Sensitivity, Training, Generators, Generative adversarial networks, Complexity theory, unpaired translation BibRef

Li, D.[Dan], Du, C.D.[Chang-De], He, H.G.[Hui-Guang],
Semi-supervised cross-modal image generation with generative adversarial networks,
PR(100), 2020, pp. 107085.
Elsevier DOI 2005
Multi-modality, Semi-supervised learning, Semantic networks, Generative adversarial networks, Multi-label learning BibRef

Zhang, T.Y.[Tian-Yang], Cheng, J.[Jun], Fu, H.Z.[Hua-Zhu], Gu, Z.W.[Zai-Wang], Xiao, Y.T.[Yu-Ting], Zhou, K.[Kang], Gao, S.H.[Sheng-Hua], Zheng, R.[Ru], Liu, J.[Jiang],
Noise Adaptation Generative Adversarial Network for Medical Image Analysis,
MedImg(39), No. 4, April 2020, pp. 1149-1159.
IEEE DOI 2004
BibRef
And: Correction: And first author name change: Miller, T.Y.[Tian-Yang], MedImg(39), No. 7, July 2020, pp. 2566-2567.
IEEE DOI 2007
Generative adversarial network, style transfer, noise adaptation, medical image analysis BibRef

Chrysos, G.G.[Grigorios G.], Kossaifi, J.[Jean], Zafeiriou, S.P.[Stefanos P.],
RoCGAN: Robust Conditional GAN,
IJCV(128), No. 10-11, November 2020, pp. 2665-2683.
Springer DOI 2009
BibRef

Yi, Z., Chen, Z., Cai, H., Mao, W., Gong, M., Zhang, H.,
BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image Synthesis,
IP(29), 2020, pp. 9073-9083.
IEEE DOI 2009
Training, Image generation, Generators, Image representation, Manifolds, Image coding, Image Processing, Visual Effects BibRef

Johnson, R.[Rie], Zhang, T.[Tong],
A Framework of Composite Functional Gradient Methods for Generative Adversarial Models,
PAMI(43), No. 1, January 2021, pp. 17-32.
IEEE DOI 2012
Generative adversarial networks, Generators, Logistics, Training, Image generation, Random variables, image generation BibRef

Chen, H.B.[Hai-Bo], Zhao, L.[Lei], Qiu, L.H.[Li-Hong], Wang, Z.Z.[Zhi-Zhong], Zhang, H.M.[Hui-Ming], Xing, W.[Wei], Lu, D.M.[Dong-Ming],
Creative and diverse artwork generation using adversarial networks,
IET-CV(14), No. 8, December 2020, pp. 650-657.
DOI Link 2012
BibRef

Yu, H.[He], Yu, N.N.[Nan-Nan],
FI-GAN: fewer iterations GAN for rapid synthesis controllable realistic images,
IET-IPR(14), No. 14, December 2020, pp. 3481-3489.
DOI Link 2012
BibRef

Chen, X.[Xu], Lian, C.F.[Chun-Feng], Wang, L.[Li], Deng, H.[Hannah], Kuang, T.S.[Tian-Shu], Fung, S.H.[Steve H.], Gateno, J.[Jaime], Yap, P.T.[Pew-Thian], Xia, J.J.[James J.], Shen, D.G.[Ding-Gang],
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation,
MedImg(40), No. 1, January 2021, pp. 274-285.
IEEE DOI 2012
Image segmentation, Image generation, Anatomical structure, Generators, Representation learning, medical image segmentation BibRef

Rozière, B., Riviere, M., Teytaud, O., Rapin, J., Le Cun, Y.L.[Yann L.], Couprie, C.,
Inspirational Adversarial Image Generation,
IP(30), 2021, pp. 4036-4045.
IEEE DOI 2104
Training, Generators, Generative adversarial networks, Image synthesis, Faces, Computational modeling, Optimization, similarity search BibRef

Hennessy, A.[Andrew], Clarke, K.[Kenneth], Lewis, M.[Megan],
Generative Adversarial Network Synthesis of Hyperspectral Vegetation Data,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Clabaut, É.[Étienne], Lemelin, M.[Myriam], Germain, M.[Mickaël], Bouroubi, Y.[Yacine], St-Pierre, T.[Tony],
Model Specialization for the Use of ESRGAN on Satellite and Airborne Imagery,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
Enhanced Super-Resolution Generative Adversarial Networks. BibRef

Karras, T.[Tero], Laine, S.[Samuli], Aila, T.[Timo],
A Style-Based Generator Architecture for Generative Adversarial Networks,
PAMI(43), No. 12, December 2021, pp. 4217-4228.
IEEE DOI 2112
BibRef
Earlier: CVPR19(4396-4405).
IEEE DOI 2002
Award, CVPR, HM. Visualization, Training data, Image resolution, Generative adversarial networks, neural networks BibRef

Yu, C.[Cheng], Wang, W.M.[Wen-Min],
Fast transformation of discriminators into encoders using pre-trained GANs,
PRL(153), 2022, pp. 92-99.
Elsevier DOI 2201
Generative adversarial net (GAN), Auto-encoder, Image synthesis, Image reconstruction BibRef

Chen, S.S.C.[Steven Szu-Chi], Cui, H.[Hui], Tan, P.[Peng], Sun, X.H.[Xiao-Hong], Ji, Y.[Yi], Duh, H.[Henry],
Cantonese Porcelain Image Generation Using User-Guided Generative Adversarial Networks,
CGA(40), No. 5, 2020.
IEEE DOI 2201
Style transfer of stylized vases. BibRef

Xie, J.W.[Jian-Wen], Zheng, Z.L.[Zi-Long], Gao, R.Q.[Rui-Qi], Wang, W.G.[Wen-Guan], Zhu, S.C.[Song-Chun], Wu, Y.N.[Ying Nian],
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis,
PAMI(44), No. 5, May 2022, pp. 2468-2484.
IEEE DOI 2204
Solid modeling, Shape, Data models, Training, Analytical models, Feature extraction, Deep generative models, energy-based models, multi-grid sampling BibRef

Phaphuangwittayakul, A.[Aniwat], Guo, Y.[Yi], Ying, F.[Fangli],
Fast Adaptive Meta-Learning for Few-Shot Image Generation,
MultMed(24), No. 2022, pp. 2205-2217.
IEEE DOI 2204
Task analysis, Training, Image synthesis, Adaptation models, Generative adversarial networks, Generators, Data models, unsupervised learning BibRef

Chen, T.Y.[Tian-Yi], Wu, S.[Si], Yang, X.H.[Xu-Hui], Xu, Y.[Yong], Wong, H.S.[Hau-San],
Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis,
MultMed(24), 2022, pp. 2975-2985.
IEEE DOI 2206
Generators, Semantics, Image synthesis, Training, Task analysis, Generative adversarial networks, Data models, semantic regularization BibRef

Chen, T.Y.[Tian-Yi], Liu, Y.[Yi], Zhang, Y.F.[Yun-Fei], Wu, S.[Si], Xu, Y.[Yong], Feng, L.B.[Liang-Bing], Wong, H.S.[Hau San],
Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation,
ICCV21(9244-9253)
IEEE DOI 2203
Training, Image synthesis, Semantics, Process control, Aerospace electronics, Generators, Image and video synthesis BibRef

Huo, X.Y.[Xiao-Yang], Zhang, Y.F.[Yun-Fei], Wu, S.[Si],
Semi-supervised class-conditional image synthesis with Semantics-guided Adaptive Feature Transforms,
PR(146), 2024, pp. 110022.
Elsevier DOI 2311
Generative adversarial networks, Semi-supervised learning, Image synthesis, Feature transformation BibRef

Liu, Y.[Yi], Huo, X.Y.[Xiao-Yang], Chen, T.Y.[Tian-Yi], Zeng, X.P.[Xiang-Ping], Wu, S.[Si], Yu, Z.W.[Zhi-Wen], Wong, H.S.[Hau-San],
Mask-Embedded Discriminator with Region-based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis,
CVPR21(5502-5511)
IEEE DOI 2111
Image synthesis, Semantics, Generative adversarial networks, Generators BibRef

Esmaeilpour, M.[Mohammad], Chaalia, N.[Nourhene], Abusitta, A.[Adel], Devailly, F.X.[Fransois-Xavier], Maazoun, W.[Wissem], Cardinal, P.[Patrick],
Bi-discriminator GAN for tabular data synthesis,
PRL(159), 2022, pp. 204-210.
Elsevier DOI 2206
Generative adversarial network (GAN), Tabular data synthesis, Bi-discriminator GAN, Conditional generator, Variational Gaussian mixture model (VGM) BibRef

Cheng, J.[Jun], Wu, F.[Fuxiang], Tian, Y.L.[Yan-Ling], Wang, L.[Lei], Tao, D.P.[Da-Peng],
RiFeGAN2: Rich Feature Generation for Text-to-Image Synthesis From Constrained Prior Knowledge,
CirSysVideo(32), No. 8, August 2022, pp. 5187-5200.
IEEE DOI 2208
BibRef
Earlier:
RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge,
CVPR20(10908-10917)
IEEE DOI 2008
Birds, Semantics, Visualization, Feature extraction, Image color analysis, Generators, Knowledge based systems, prior knowledge. Generators, Training, Task analysis, Generative adversarial networks BibRef

Sun, W.[Wei], Wu, T.F.[Tian-Fu],
Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis,
PAMI(44), No. 9, September 2022, pp. 5070-5087.
IEEE DOI 2208
BibRef
Earlier:
Image Synthesis From Reconfigurable Layout and Style,
ICCV19(10530-10539)
IEEE DOI 2004
Code, Image Synthesis.
WWW Link. Layout, Image synthesis, Generators, Snow, Task analysis, Training, Fasteners, Image synthesis, layout-to-image, ISLA-norm. genomics, learning (artificial intelligence), LostGAN, reconfigurable layout, fine-grained mask maps, Image resolution BibRef

Yates, M.[Matthew], Hart, G.[Glen], Houghton, R.[Robert], Torres, M.T.[Mercedes Torres], Pound, M.[Michael],
Evaluation of synthetic aerial imagery using unconditional generative adversarial networks,
PandRS(190), 2022, pp. 231-251.
Elsevier DOI 2208
Machine learning, Deep learning, Generative adversarial networks, Aerial imagery BibRef

Xie, Y.[Yu], Fu, Y.W.[Yan-Wei], Tai, Y.[Ying], Cao, Y.[Yun], Zhu, J.W.[Jun-Wei], Wang, C.J.[Cheng-Jie],
Learning to Memorize Feature Hallucination for One-Shot Image Generation,
CVPR22(9120-9129)
IEEE DOI 2210
Image synthesis, Computational modeling, Benchmark testing, Data models, Task analysis, Image and video synthesis and generation BibRef

Zhao, Y.Q.[Yun-Qing], Ding, H.H.[Heng-Hui], Huang, H.J.[Hou-Jing], Cheung, N.M.[Ngai-Man],
A Closer Look at Few-shot Image Generation,
CVPR22(9130-9140)
IEEE DOI 2210
Degradation, Training, Image synthesis, Focusing, Feature extraction, Generators, Image and video synthesis and generation BibRef

Xu, L.M.[Li-Ming], Zeng, X.H.[Xian-Hua], Li, W.S.[Wei-Sheng], Xie, Y.[Yicai],
BH2I-GAN: Bidirectional Hashcode-to-Image Translation using Multi-Generative Multi-Adversarial Nets,
PR(133), 2023, pp. 109010.
Elsevier DOI 2210
Deep hashing, Generative adversarial nets, Low storage cost, Hashcode-to-image, Supervised manifold similarity BibRef

Bi, Z.W.[Zhi-Wei], Cao, B.[Bing], Zuo, W.M.[Wang-Meng], Hu, Q.H.[Qing-Hua],
Learning a Prototype Discriminator With RBF for Multimodal Image Synthesis,
IP(31), 2022, pp. 6664-6678.
IEEE DOI 2211
Uncertainty, Prototypes, Generators, Image synthesis, Generative adversarial networks, Estimation, Task analysis, reconstructive regularization BibRef

Sushko, V.[Vadim], Schönfeld, E.[Edgar], Zhang, D.[Dan], Gall, J.[Juergen], Schiele, B.[Bernt], Khoreva, A.[Anna],
OASIS: Only Adversarial Supervision for Semantic Image Synthesis,
IJCV(130), No. 12, December 2022, pp. 2903-2923.
Springer DOI 2211
Code, Image Synthesis.
WWW Link. BibRef

Tang, H.[Hao], Shao, L.[Ling], Torr, P.H.S.[Philip H.S.], Sebe, N.[Nicu],
Local and Global GANs With Semantic-Aware Upsampling for Image Generation,
PAMI(45), No. 1, January 2023, pp. 768-784.
IEEE DOI 2212
Semantics, Image synthesis, Task analysis, Generators, Kernel, Generative adversarial networks, Interpolation, GANs, image generation BibRef

Zhou, N.R.[Nan-Run], Zhang, T.F.[Tian-Feng], Xie, X.W.[Xin-Wen], Wu, J.Y.[Jun-Yun],
Hybrid quantum-classical generative adversarial networks for image generation via learning discrete distribution,
SP:IC(110), 2023, pp. 116891.
Elsevier DOI 2212
Quantum machine learning, Quantum generative adversarial network, Quantum computation, Hybrid quantum-classical algorithms BibRef

Li, S.X.[Sheng-Xi], Yu, Z.Y.[Ze-Yang], Xiang, M.[Min], Mandic, D.[Danilo],
Reciprocal GAN Through Characteristic Functions (RCF-GAN),
PAMI(45), No. 2, February 2023, pp. 2246-2263.
IEEE DOI 2301
Generators, Image reconstruction, Training, Task analysis, Semantics, Convergence, Manifolds, Auto-encoder, characteristic function, integral probability metric BibRef

Zhao, Z.Z.[Zhi-Zhen], Ye, J.C.[Jong Chul], Bresler, Y.[Yoram],
Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications,
SPMag(40), No. 1, January 2023, pp. 148-163.
IEEE DOI 2301
Inverse problems, Computational modeling, Imaging, Generative adversarial networks, Mathematical models, Physics BibRef

Wei, Y.[Ying], Zhang, J.W.[Jian-Wei], Zhong, L.Q.[Long-Qi],
RIS-GAN: Self-Supervised GANs via Recovering Initial State of Subimages,
PRL(165), 2023, pp. 114-121.
Elsevier DOI 2301
Self-supervised learning, Generative adversarial networks, Representation learning, Image generation BibRef

Zhu, J.C.[Jun-Chen], Gao, L.L.[Lian-Li], Song, J.K.[Jing-Kuan], Li, Y.F.[Yuan-Fang], Zheng, F.[Feng], Li, X.L.[Xue-Long], Shen, H.T.[Heng Tao],
Label-Guided Generative Adversarial Network for Realistic Image Synthesis,
PAMI(45), No. 3, March 2023, pp. 3311-3328.
IEEE DOI 2302
Task analysis, Visualization, Semantics, Generators, Feature extraction, Adaptation models, Training, photo-realistic image generation BibRef

Su, X.Z.[Xing-Zhe], Lin, Y.J.[Yi-Jun], Zheng, Q.[Quan], Wu, F.G.[Feng-Ge], Zheng, C.W.[Chang-Wen], Zhao, J.[Junsuo],
GSGAN: Learning controllable geospatial images generation,
IET-IPR(17), No. 2, 2023, pp. 401-417.
DOI Link 2302
Secific to large-scale geospatial images. Land Use analysis. BibRef

Weng, Y.C.[Yong-Chun], Ma, Y.[Yong], Chen, F.[Fu], Shang, E.[Erping], Yao, W.[Wutao], Zhang, S.Y.[Shu-Yan], Yang, J.[Jin], Liu, J.B.[Jian-Bo],
Temporal Co-Attention Guided Conditional Generative Adversarial Network for Optical Image Synthesis,
RS(15), No. 7, 2023, pp. 1863.
DOI Link 2304
BibRef

Zhou, P.[Peng], Xie, L.X.[Ling-Xi], Ni, B.B.[Bing-Bing], Liu, L.[Lin], Tian, Q.[Qi],
HRInversion: High-Resolution GAN Inversion for Cross-Domain Image Synthesis,
CirSysVideo(33), No. 5, May 2023, pp. 2147-2161.
IEEE DOI 2305
Image reconstruction, Image resolution, Generative adversarial networks, Task analysis, Semantics, image synthesis BibRef

Xu, Y.H.[Ying-Hao], Shen, Y.J.[Yu-Jun], Zhu, J.P.[Jia-Peng], Yang, C.[Ceyuan], Zhou, B.[Bolei],
GH-Feat: Learning Versatile Generative Hierarchical Features From GANs,
PAMI(45), No. 6, June 2023, pp. 7395-7411.
IEEE DOI
WWW Link. 2305
Task analysis, Generators, Visualization, Generative adversarial networks, Feature extraction, Training, image editing BibRef

Zhu, B.Y.[Bao-Yu], Lv, Q.[Qunbo], Yang, Y.B.[Yuan-Bo], Zhang, K.[Kai], Sui, X.[Xuefu], Tang, Y.H.[Yin-Hui], Tan, Z.[Zheng],
Gradient Structure Information-Guided Attention Generative Adversarial Networks for Remote Sensing Image Generation,
RS(15), No. 11, 2023, pp. 2827.
DOI Link 2306
BibRef

Quan, F.N.[Feng-Nan], Lang, B.[Bo],
GIGAN: Self-supervised GAN for generating the invisible using cycle transformation and conditional normalization,
IET-IPR(17), No. 9, 2023, pp. 2736-2747.
DOI Link 2307
image processing, image segmentation BibRef

Zhang, X.M.[Xuan-Meng], Zheng, Z.D.[Zhe-Dong], Gao, D.H.[Dai-Heng], Zhang, B.[Bang], Yang, Y.[Yi], Chua, T.S.[Tat-Seng],
Multi-view Consistent Generative Adversarial Networks for Compositional 3D-Aware Image Synthesis,
IJCV(131), No. 8, August 2023, pp. 2219-2242.
Springer DOI 2307
BibRef

Zhang, X.M.[Xuan-Meng], Zheng, Z.D.[Zhe-Dong], Gao, D.H.[Dai-Heng], Zhang, B.[Bang], Pan, P.[Pan], Yang, Y.[Yi],
Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis,
CVPR22(18429-18438)
IEEE DOI 2210
Geometry, Training, Image quality, Solid modeling, Image synthesis, Shape, Image and video synthesis and generation BibRef

Rojas-Gomez, R.A.[Renan A.], Yeh, R.A.[Raymond A.], Do, M.N.[Minh N.], Nguyen, A.[Anh],
Inverting Adversarially Robust Networks for Image Synthesis,
ACCV22(VI:389-407).
Springer DOI 2307
BibRef

Hyun, S.[Sangeek], Lew, J.[Jaihyun], Chung, J.[Jiwoo], Kim, E.[Euiyeon], Heo, J.P.[Jae-Pil],
Frequency-Based Motion Representation for Video Generative Adversarial Networks,
IP(32), 2023, pp. 3949-3963.
IEEE DOI 2307
Generators, Frequency modulation, Codes, Time-frequency analysis, Encoding, Interpolation, speed-level motion manipulation BibRef

Schönfeld, E.[Edgar], Borges, J.[Julio], Sushko, V.[Vadim], Schiele, B.[Bernt], Khoreva, A.[Anna],
Discovering Class-Specific GAN Controls for Semantic Image Synthesis,
GCV23(688-697)
IEEE DOI 2309
BibRef

Wang, X.S.[Xue-Song], Jin, K.[Ke], Kong, Y.[Yi], Chen, C.L.P.[C. L. Philip], Cheng, Y.[Yuhu],
Discriminator-Quality Evaluation GAN,
MultMed(25), 2023, pp. 4081-4093.
IEEE DOI 2310
BibRef

Aydin, A.[Ayberk], Temizel, A.[Alptekin],
Adversarial image generation by spatial transformation in perceptual colorspaces,
PRL(174), 2023, pp. 92-98.
Elsevier DOI 2310
Adversarial examples, Deep learning, Perceptual colorspace BibRef

Kang, M.[Minguk], Shin, J.[Joonghyuk], Park, J.[Jaesik],
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis,
PAMI(45), No. 12, December 2023, pp. 15725-15742.
IEEE DOI Code:
WWW Link. 2311
BibRef

Li, H.Y.[Hai-Yan], Han, Y.Q.[Yong-Qiang], Guo, L.[Lei], Tan, M.C.[Ming-Chuan], Zhou, L.P.[Li-Ping],
LKDA-GAN: Cross-modality image synthesis via Generative Adversarial Network aggregating large kernel decomposable attention bottleneck block,
CVIU(237), 2023, pp. 103856.
Elsevier DOI 2311
Medical image synthesis, Large kernel decomposable attention, Bottleneck block, Noise transition matrix BibRef

Wang, X.S.[Xue-Song], Jin, K.[Ke], Yu, K.[Kun], Cheng, Y.[Yuhu],
Asymmetric Training in RealnessGAN,
MultMed(25), 2023, pp. 8157-8169.
IEEE DOI 2312
Training with real and generated data. BibRef

Xiao, J.[Jian], Bi, X.J.[Xiao-Jun],
Model-Guided Generative Adversarial Networks for Unsupervised Fine-Grained Image Generation,
MultMed(26), 2024, pp. 1188-1199.
IEEE DOI 2402
Image synthesis, Generators, Generative adversarial networks, Codes, Training, Shape, Task analysis, image inpainting BibRef

Cao, B.[Bing], Cao, H.[Haifang], Liu, J.X.[Jia-Xu], Zhu, P.F.[Peng-Fei], Zhang, C.Q.[Chang-Qing], Hu, Q.H.[Qing-Hua],
Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis,
MultMed(26), 2024, pp. 995-1010.
IEEE DOI 2402
Image synthesis, Collaboration, Task analysis, Generative adversarial networks, Feature extraction, Data models, multi-modal attention BibRef

Xu, M.[Mingle], Lee, J.[Jaehwan], Yoon, S.[Sook], Kim, H.[Hyongsuk], Park, D.S.[Dong Sun],
Variation-aware semantic image synthesis,
IVC(142), 2024, pp. 104914.
Elsevier DOI 2402
Photorealistic synthesis. Semantic image synthesis, Image variations, Generative adversarial networks, Conditional normalization BibRef

Zhu, J.P.[Jia-Peng], Shen, Y.J.[Yu-Jun], Xu, Y.H.[Ying-Hao], Zhao, D.L.[De-Li], Chen, Q.F.[Qi-Feng], Zhou, B.[Bolei],
In-Domain GAN Inversion for Faithful Reconstruction and Editability,
PAMI(46), No. 5, May 2024, pp. 2607-2621.
IEEE DOI 2404
Codes, Image reconstruction, Generative adversarial networks, Semantics, Generators, Optimization, Training, image editing BibRef

Czerkawski, M.[Mikolaj], Cardona, J.[Javier], Atkinson, R.[Robert], Michie, C.[Craig], Andonovic, I.[Ivan], Clemente, C.[Carmine], Tachtatzis, C.[Christos],
Neural Knitworks: Patched neural implicit representation networks,
PR(151), 2024, pp. 110378.
Elsevier DOI 2404
Generative models, Image denoising, Image inpainting, Image super-resolution, Image synthesis, Internal learning, Zero-shot learning BibRef

Mahara, A.[Arpan], Rishe, N.[Naphtali],
Multispectral Band-Aware Generation of Satellite Images across Domains Using Generative Adversarial Networks and Contrastive Learning,
RS(16), No. 7, 2024, pp. 1154.
DOI Link 2404
BibRef

Zhu, J.Y.[Jing-Yuan], Ma, H.M.[Hui-Min], Chen, J.S.[Jian-Sheng], Yuan, J.[Jian],
High-Quality and Diverse Few-Shot Image Generation via Masked Discrimination,
IP(33), 2024, pp. 2950-2965.
IEEE DOI 2405
Feature extraction, Image synthesis, Generators, Training, Task analysis, Adaptation models, Training data, cross-domain correspondence BibRef

Raj, S.[Surbhi], Mathew, J.[Jimson], Mondal, A.[Arijit],
Generalized and robust model for GAN-generated image detection,
PRL(182), 2024, pp. 104-110.
Elsevier DOI 2405
Deepfake, Generative adversarial network (GAN), Photo response non-uniformity (PRNU), Multi-head attention (MHA) BibRef

Wei, X.X.[Xing-Xing], Yu, J.[Jie], Huang, Y.[Yao],
Infrared Adversarial Patches with Learnable Shapes and Locations in the Physical World,
IJCV(132), No. 6, June 2024, pp. 1928-1944.
Springer DOI 2406
BibRef
Earlier:
Physically Adversarial Infrared Patches with Learnable Shapes and Locations,
CVPR23(12334-12342)
IEEE DOI 2309
BibRef

Zuo, Z.W.[Zhi-Wen], Li, A.[Ailin], Wang, Z.Z.[Zhi-Zhong], Zhao, L.[Lei], Dong, J.F.[Jian-Feng], Wang, X.[Xun], Wang, M.[Meng],
Statistics Enhancement Generative Adversarial Networks for Diverse Conditional Image Synthesis,
CirSysVideo(34), No. 7, July 2024, pp. 6167-6180.
IEEE DOI 2407
Codes, Image synthesis, Task analysis, Mutual information, Random variables, Generators, Generative adversarial networks, mutual information BibRef

Jin, B.B.[Bei-Bei],
DIFA-GAN: Differential Attention-Guided Generative Adversarial Network for Unsupervised Video Forecasting,
SPLetters(31), 2024, pp. 1795-1799.
IEEE DOI 2408
Forecasting, Dams, Training, Generative adversarial networks, Predictive models, Generators, Visualization, Autonomous driving, video understanding BibRef

Wang, J.Y.[Jian-Yuan], Bhagat, L.[Lalit], Yang, C.[Ceyuan], Xu, Y.H.[Ying-Hao], Shen, Y.J.[Yu-Jun], Li, H.D.[Hong-Dong], Zhou, B.[Bolei],
Spatial Steerability of GANs via Self-Supervision from Discriminator,
PAMI(46), No. 12, December 2024, pp. 9493-9507.
IEEE DOI 2411
Heating systems, Image synthesis, Generators, Generative adversarial networks, Codes, Training, Annotations, generative models BibRef

Yi, R.[Ran], Hu, T.[Teng], Xia, M.F.[Meng-Fei], Tang, Y.Z.[Yi-Zhe], Liu, Y.J.[Yong-Jin],
FEditNet++: Few-Shot Editing of Latent Semantics in GAN Spaces With Correlated Attribute Disentanglement,
PAMI(46), No. 12, December 2024, pp. 9975-9990.
IEEE DOI 2411
Semantics, Accuracy, Correlation, Generative adversarial networks, Gold, Task analysis, Generators, Attribute disentanglement, few-shot attribute editing BibRef

Li, Y.F.[Yi-Fei], Xu, M.[Mai], Li, S.X.[Sheng-Xi], Zhang, J.[Jialu], Guan, Z.Y.[Zhen-Yu],
Patch Inverter: A Novel Block-Wise GAN Inversion Method for Arbitrary Image Resolutions,
SPLetters(32), 2025, pp. 171-175.
IEEE DOI 2501
GAN to create from small data, invert the process. Inverters, Image resolution, Image reconstruction, Convolution, Semantics, Generators, Accuracy, Codes, Image restoration, representation learning BibRef

Yu, Z.P.[Zhi-Ping], Liu, C.Y.[Chen-Yang], Liu, L.Q.[Li-Qin], Shi, Z.W.[Zhen-Wei], Zou, Z.X.[Zheng-Xia],
MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation,
PAMI(47), No. 3, March 2025, pp. 1764-1781.
IEEE DOI 2502
Large-scale scene generation. Remote sensing, Image synthesis, Image resolution, Noise, Diffusion models, Training, Noise reduction, unbounded generation BibRef

Li, Z.Q.[Zi-Qiang], Wang, C.Y.[Chao-Yue], Rui, X.[Xue], Xue, C.[Chao], Leng, J.X.[Jia-Xu], Fu, Z.J.[Zhang-Jie], Li, B.[Bin],
Peer Is Your Pillar: A Data-Unbalanced Conditional GANs for Few-Shot Image Generation,
CirSysVideo(35), No. 2, February 2025, pp. 1303-1317.
IEEE DOI 2502
Training, Image synthesis, Training data, Generators, Pipelines, Generative adversarial networks, Semantics, Transfer learning, image synthesis BibRef

Ding, W.H.[Wen-Hao], Lin, H.[Haohong], Li, B.[Bo], Zhao, D.[Ding],
Semantically Adversarial Scene Generation With Explicit Knowledge Guidance,
ITS(26), No. 2, February 2025, pp. 1510-1521.
IEEE DOI 2502
Semantics, Codes, Training, Point cloud compression, Autonomous vehicles, Robustness, Optimization, Neurons, Indexes, safety and robustness BibRef

Niu, Z.[Zhenye], Li, Y.X.[Yu-Xia], Gong, Y.S.[Yu-Shu], Zhang, B.[Bowei], He, Y.[Yuan], Zhang, J.L.[Jing-Lin], Tian, M.Y.[Meng-Yu], He, L.[Lei],
Multi-Class Guided GAN for Remote-Sensing Image Synthesis Based on Semantic Labels,
RS(17), No. 2, 2025, pp. 344.
DOI Link 2502
BibRef

Wang, B.X.[Bing-Xu], Lan, J.H.[Jin-Hui], Gao, J.J.[Jiang-Jiang],
Multi-class GAN for generating multi-class images in object recognition,
JOSA-A(39), No. 5, May 2022, pp. 897-906.
DOI Link 2503
Deep learning, Image metrics, Image quality, Imaging techniques, Neural networks, Real time imaging BibRef

Ke, A.[Aihua], Cai, B.[Bo], Huang, Y.J.[Yu-Jie], Luo, J.[Jian], Yu, Y.X.[Yao-Xiang], Li, L.[Le],
Dual-function discriminator for semantic image synthesis in variational GANs,
PR(166), 2025, pp. 111684.
Elsevier DOI Code:
WWW Link. 2505
Semantic image synthesis, Generative adversarial networks, Conditional residual attention module, Dual-function discriminator BibRef

Hou, Y.L.[Ying-Li], Zhang, W.[Wei], Zhu, Z.L.[Zhi-Liang], Yu, H.[Hai],
CLIP-GAN: Stacking CLIPs and GAN for Efficient and Controllable Text-to-Image Synthesis,
MultMed(27), 2025, pp. 3702-3715.
IEEE DOI 2506
Generators, Visualization, Text to image, Vectors, Image synthesis, Computational modeling, Training, Adaptation models, Transforms, text-to-image generation BibRef

Gu, B.[Bowen], Zhai, J.H.[Jun-Hai],
Few-shot image generation based on meta-learning and generative adversarial network,
SP:IC(137), 2025, pp. 117307.
Elsevier DOI Code:
WWW Link. 2506
Meta-learning, Deep learning, Few-shot learning, Learning to learn, Attention mechanism BibRef

Fan, M.Y.[Ming-Yuan], Wang, C.Y.[Cheng-Yu], Chen, C.[Cen], Liu, Y.[Yang], Huang, J.[Jun],
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook,
IJCV(133), No. 7, July 2025, pp. 4317-4348.
Springer DOI 2506
Survey, Generative Models. BibRef

Huang, T.[Tao], Liu, J.Q.[Jia-Qi], You, S.[Shan], Xu, C.[Chang],
Active Generation for Image Classification,
ECCV24(XLVIII: 270-286).
Springer DOI 2412
Code:
WWW Link. BibRef

Chen, Q.[Qimin], Chen, Z.Q.[Zhi-Qin], Kim, V.G.[Vladimir G.], Aigerman, N.[Noam], Zhang, H.[Hao], Chaudhuri, S.[Siddhartha],
Decollage: 3d Detailization by Controllable, Localized, and Learned Geometry Enhancement,
ECCV24(XXXIX: 110-127).
Springer DOI 2412
masking-aware GAN for details. BibRef

Nakata, A.[Atsuya], Yamanaka, T.[Takao],
2S-ODIS: Two-stage Omni-directional Image Synthesis by Geometric Distortion Correction,
ECCV24(XXIX: 342-356).
Springer DOI 2412
Vector Quantized GAN BibRef

Dai, X.L.[Xue-Long], Liang, K.[Kaisheng], Xiao, B.[Bin],
ADVDIFF: Generating Unrestricted Adversarial Examples Using Diffusion Models,
ECCV24(XLVI: 93-109).
Springer DOI 2412
BibRef

Sun, S.K.[Sheng-Ke], Luan, Z.Q.[Zi-Qian], Zhao, Z.[Zhanshan], Luo, S.J.[Shi-Jie], Han, S.Z.[Shu-Zhen],
CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction,
ECCV24(I: 210-227).
Springer DOI 2412
Code:
WWW Link. BibRef

Bizzozzero, N.[Nicolas], Bendidi, I.[Ihab], Risser-Maroix, O.[Olivier],
Prompt Performance Prediction for Image Generation,
ICIP24(2208-2214)
IEEE DOI 2411
Correlation coefficient, Art, Image synthesis, Predictive models, Information retrieval, Task analysis, generative models BibRef

Wang, Y.O.[Yinong Oliver], Chung, Y.[Younjoon], Wu, C.H.[Chen Henry], de la Torre, F.[Fernando],
Domain Gap Embeddings for Generative Dataset Augmentation,
CVPR24(28684-28694)
IEEE DOI 2410
Training, Deep learning, Solid modeling, Semantics, Training data, Production, Data augmentation, Generative Models, Few-shot Learning BibRef

Chen, T.W.[Tian-Wei], Hirota, Y.[Yusuke], Otani, M.[Mayu], Garcia, N.[Noa], Nakashima, Y.[Yuta],
Would Deep Generative Models Amplify Bias in Future Models?,
CVPR24(10833-10843)
IEEE DOI 2410
Training, Feedback loop, Image synthesis, Prevention and mitigation, Training data, Distance measurement, Multimodal Learning BibRef

Hwang, J.[Jaehui], Lee, J.[Junghyuk], Lee, J.S.[Jong-Seok],
Anomaly Score: Evaluating Generative Models and Individual Generated Images Based on Complexity and Vulnerability,
CVPR24(8754-8763)
IEEE DOI 2410
Measurement, Feature extraction, Complexity theory BibRef

Reddy, P.[Pradyumna], Elezi, I.[Ismail], Deng, J.K.[Jian-Kang],
G3DR: Generative 3D Reconstruction in ImageNet,
CVPR24(9655-9665)
IEEE DOI Code:
WWW Link. 2410
Geometry, Training, Measurement, Heart, Visualization, 3D Generations, Triplanes, Diffusion, 3D Reconstruction BibRef

Ni, Y.[Yao], Koniusz, P.[Piotr],
circ CHAIN: Enhancing Generalization in Data-Efficient GANs via LipsCHitz Continuity ConstrAIned Normalization,
CVPR24(6763-6774)
IEEE DOI 2410
Training, Fault diagnosis, Interpolation, Image synthesis, Training data, Generative adversarial networks, Gradient explosion BibRef

Pan, X.G.[Xin-Gang], Tewari, A.[Ayush], Liu, L.J.[Ling-Jie], Theobalt, C.[Christian],
GAN2X: Non-Lambertian Inverse Rendering of Image GANs,
3DV22(711-721)
IEEE DOI 2408
Geometry, Training, Shape, Lighting, Rendering (computer graphics), Task analysis, Generative adversarial networks, 3D reconstruction BibRef

Katsumata, K.[Kai], Vo, D.M.[Duc Minh], Nakayama, H.[Hideki],
Label Augmentation as Inter-class Data Augmentation for Conditional Image Synthesis with Imbalanced Data,
WACV24(4932-4941)
IEEE DOI Code:
WWW Link. 2404
Training, Image synthesis, Training data, Predictive models, Data augmentation, Feature extraction, Arts / games / social media BibRef

Ben-Dov, O.[Omri], Gupta, P.S.[Pravir Singh], Abrevaya, V.[Victoria], Black, M.J.[Michael J.], Ghosh, P.[Partha],
Adversarial Likelihood Estimation With One-Way Flows,
WACV24(3767-3776)
IEEE DOI 2404
Training, Maximum likelihood estimation, Monte Carlo methods, Computational modeling, Training data, Stochastic processes BibRef

Zhu, Z.[Zhen], Li, Y.J.[Yi-Jun], Lyu, W.J.[Wei-Jie], Singh, K.K.[Krishna Kumar], Shu, Z.X.[Zhi-Xin], Pirk, S.[Sören], Hoiem, D.[Derek],
Consistent Multimodal Generation via A Unified GAN Framework,
WACV24(5036-5045)
IEEE DOI 2404
Training, Codes, Computational modeling, Generative adversarial networks, Data models, Algorithms, image and video synthesis BibRef

Berman, O.[Omri], Oz, N.[Navot], Mendlovic, D.[David], Sochen, N.[Nir], Cohen, Y.[Yafit], Klapp, I.[Iftach],
PETIT-GAN: Physically Enhanced Thermal Image-Translating Generative Adversarial Network,
WACV24(1607-1616)
IEEE DOI Code:
WWW Link. 2404
Generate multi-spectral thermal data. Training, Measurement, Visualization, Transforms, Generative adversarial networks BibRef

Zhang, Z.Y.[Zhao-Yu], Hual, Y.[Yang], Sun, G.X.[Guan-Xiong], Wang, H.[Hui], McLoone, S.[Seán],
Improving the Leaking of Augmentations in Data-Efficient GANs via Adaptive Negative Data Augmentation,
WACV24(5400-5409)
IEEE DOI Code:
WWW Link. 2404
Training, Codes, Data augmentation, Generators, Computational efficiency, Algorithms, image and video synthesis BibRef

Pandey, K.[Kushagra], Mandt, S.[Stephan],
A Complete Recipe for Diffusion Generative Models,
ICCV23(4238-4249)
IEEE DOI Code:
WWW Link. 2401
BibRef

Seo, J.[Juwon], Kang, J.S.[Ji-Su], Park, G.M.[Gyeong-Moon],
LFS-GAN: Lifelong Few-Shot Image Generation,
ICCV23(11322-11332)
IEEE DOI 2401
BibRef

Güven, B.[Baturalp], Güngör, A.[Alper], Bahçeci, M.U.[M. Umut], Çukur, T.[Tolga],
Deep Learning Reconstruction for Single Pixel Imaging with Generative Adversarial Networks,
ICIP23(2060-2064)
IEEE DOI 2312
BibRef

Solano-Carrillo, E.[Edgardo], Rodriguez, A.B.[Angel Bueno], Carrillo-Perez, B.[Borja], Steiniger, Y.[Yannik], Stoppe, J.[Jannis],
Look ATME: The Discriminator Mean Entropy Needs Attention,
GCV23(787-796)
IEEE DOI 2309
BibRef

Nguyen, T.H.[Thuan Hoang], Le, T.V.[Thanh Van], Tran, A.[Anh],
Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis,
CVPR23(22408-22417)
IEEE DOI 2309
BibRef

Solomon, I.[Indu], Kumar, U.[Uttam], Jayavelu, S.[Senthilnath],
Data Generation with Structure Enforcing Adversarial Learning,
ICIP23(2530-2534)
IEEE DOI 2312
BibRef

Nitzan, Y.[Yotam], Gharbi, M.[Michaël], Zhang, R.[Richard], Park, T.[Taesung], Zhu, J.Y.[Jun-Yan], Cohen-Or, D.[Daniel], Shechtman, E.[Eli],
Domain Expansion of Image Generators,
CVPR23(15933-15942)
IEEE DOI 2309
BibRef

Zhang, Y.F.[Yun-Fei], Huo, X.Y.[Xiao-Yang], Chen, T.Y.[Tian-Yi], Wu, S.[Si], Wong, H.S.[Hau San],
Exploring Intra-class Variation Factors with Learnable Cluster Prompts for Semi-supervised Image Synthesis,
CVPR23(7392-7401)
IEEE DOI 2309
BibRef

Chen, X.[Xinya], Guo, H.[Hanlei], Bin, Y.[Yanrui], Zhang, S.Z.[Shang-Zhan], Yang, Y.B.[Yuan-Bo], Wang, Y.[Yue], Shen, Y.J.[Yu-Jun], Liao, Y.[Yiyi],
Learning 3d-aware GANs from Unposed Images with Template Feature Field,
ECCV24(XVI: 39-56).
Springer DOI 2412
BibRef

Shi, Z.[Zifan], Shen, Y.J.[Yu-Jun], Xu, Y.H.[Ying-Hao], Peng, S.[Sida], Liao, Y.[Yiyi], Guo, S.[Sheng], Chen, Q.F.[Qi-Feng], Yeung, D.Y.[Dit-Yan],
Learning 3D-Aware Image Synthesis with Unknown Pose Distribution,
CVPR23(13062-13071)
IEEE DOI 2309
BibRef

Raistrick, A.[Alexander], Lipson, L.[Lahav], Ma, Z.[Zeyu], Mei, L.J.[Ling-Jie], Wang, M.Z.[Ming-Zhe], Zuo, Y.M.[Yi-Ming], Kayan, K.[Karhan], Wen, H.Y.[Hong-Yu], Han, B.[Beining], Wang, Y.[Yihan], Newell, A.[Alejandro], Law, H.[Hei], Goyal, A.[Ankit], Yang, K.Y.[Kai-Yu], Deng, J.[Jia],
Infinite Photorealistic Worlds Using Procedural Generation,
CVPR23(12630-12641)
IEEE DOI 2309
BibRef

Peng, S.[Sida], Yan, Y.Z.[Yun-Zhi], Shuai, Q.[Qing], Bao, H.J.[Hu-Jun], Zhou, X.W.[Xiao-Wei],
Representing Volumetric Videos as Dynamic MLP Maps,
CVPR23(4252-4262)
IEEE DOI 2309

WWW Link. BibRef

Zhao, Y.Q.[Yun-Qing], Du, C.[Chao], Abdollahzadeh, M.[Milad], Pang, T.Y.[Tian-Yu], Lin, M.[Min], Yan, S.C.[Shui-Cheng], Cheung, N.M.[Ngai-Man],
Exploring Incompatible Knowledge Transfer in Few-shot Image Generation,
CVPR23(7380-7391)
IEEE DOI 2309
BibRef

Zheng, C.X.[Chen-Xi], Liu, B.Z.[Bang-Zhen], Zhang, H.D.[Huai-Dong], Xu, X.M.[Xue-Miao], He, S.F.[Sheng-Feng],
Where is My Spot? Few-shot Image Generation via Latent Subspace Optimization,
CVPR23(3272-3281)
IEEE DOI 2309
BibRef

Lan, Y.S.[Yu-Shi], Meng, X.Y.[Xu-Yi], Yang, S.[Shuai], Loy, C.C.[Chen Change], Dai, B.[Bo],
Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion,
CVPR23(20940-20949)
IEEE DOI 2309
BibRef

Martinez, E.[Emmanuel], Jacome, R.[Roman], Hernandez-Rojas, A.[Alejandra], Arguello, H.[Henry],
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance Regularization,
LXCV23(265-275)
IEEE DOI 2309
BibRef

Singh, J.[Jaskirat], Gould, S.[Stephen], Zheng, L.[Liang],
High-Fidelity Guided Image Synthesis with Latent Diffusion Models,
CVPR23(5997-6006)
IEEE DOI 2309
BibRef

Li, T.H.[Tian-Hong], Chang, H.[Huiwen], Mishra, S.K.[Shlok Kumar], Zhang, H.[Han], Katabi, D.[Dina], Krishnan, D.[Dilip],
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis,
CVPR23(2142-2152)
IEEE DOI 2309
BibRef

Deng, K.[Kangle], Yang, G.[Gengshan], Ramanan, D.[Deva], Zhu, J.Y.[Jun-Yan],
3D-aware Conditional Image Synthesis,
CVPR23(4434-4445)
IEEE DOI 2309
BibRef

Shen, X.Q.[Xiao-Qian], Li, X.[Xiang], Elhoseiny, M.[Mohamed],
MoStGAN-V: Video Generation with Temporal Motion Styles,
CVPR23(5652-5661)
IEEE DOI 2309
BibRef

Xie, J.X.[Jia-Xin], Ouyang, H.[Hao], Piao, J.[Jingtan], Lei, C.Y.[Chen-Yang], Chen, Q.F.[Qi-Feng],
High-fidelity 3D GAN Inversion by Pseudo-multi-view Optimization,
CVPR23(321-331)
IEEE DOI 2309
BibRef

Careil, M.[Marlène], Lathuilière, S.[Stéphane], Couprie, C.[Camille], Verbeek, J.[Jakob],
Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN,
AIM22(239-255).
Springer DOI 2304
BibRef

Sushko, V.[Vadim], Zhang, D.[Dan], Gall, J.[Juergen], Khoreva, A.[Anna],
One-Shot Synthesis of Images and Segmentation Masks,
WACV23(6274-6283)
IEEE DOI 2302
Training, Image segmentation, Codes, Image synthesis, Performance gain, Generative adversarial networks BibRef

Paudel, D.P.[Danda Pani], Probst, T.[Thomas], Van Gool, L.J.[Luc J.],
Spatially Multi-Conditional Image Generation,
WACV23(734-743)
IEEE DOI 2302
Training, Visualization, Tensors, TV, Image synthesis, Process control, Algorithms: Computational photography, adversarial attack and defense methods BibRef

Jo, K.[Kyungmin], Shim, G.[Gyumin], Jung, S.[Sanghun], Yang, S.[Soyoung], Choo, J.[Jaegul],
CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-aware Image Synthesis,
WACV23(724-733)
IEEE DOI 2302
Measurement, Image quality, Codes, Shape, Image synthesis, Algorithms: Computational photography, 3D computer vision BibRef

Bhise, N.[Naitik], Krzyzak, A.[Adam], Bui, T.D.[Tien D.],
Refining AttnGAN Using Attention on Attention Network,
SSSPR22(283-291).
Springer DOI 2301
BibRef

Shee, C.F.[Chean Fei], Uchida, S.[Seiichi],
MontageGAN: Generation and Assembly of Multiple Components by GANs,
ICPR22(1478-1484)
IEEE DOI 2212
Training, Image quality, Graphics, Image synthesis, Image color analysis, Convolution, Face recognition BibRef

Bonnet, B.[Benoit], Furon, T.[Teddy], Bas, P.[Patrick],
Impact of Downscaling on Adversarial Images,
ICIP22(2256-2260)
IEEE DOI 2211
Deep learning, Interpolation, Adaptation models, Distortion, Kernel, Best practices, Adversarial example, Deep Learning BibRef

Ong, Y.Z.[Yong Zheng], Zheng, L.[Lilei], Feng, C.W.[Chao-Wei], Song, K.[Kang],
VG-GAN: Conditional GAN Framework for Graphical Design Generation,
ICIP22(781-785)
IEEE DOI 2211
Codes, Layout, Generative adversarial networks, Task analysis, Software development management, Layout Generation, Conditional Generative Adversarial Network BibRef

Chen, Z.[Zichuan], Liu, P.[Peng],
Towards Efficient Variational Auto-Encoder Using Wasserstein Distance,
ICIP22(81-85)
IEEE DOI 2211
Schedules, Image coding, Image synthesis, Training data, Linear programming, Data models, Elbow, Image reconstruction, Wasserstein distance BibRef

Cherel, N.[Nicolas], Almansa, A.[Andrés], Gousseau, Y.[Yann], Newson, A.[Alasdair],
A Patch-Based Algorithm for Diverse and High Fidelity Single Image Generation,
ICIP22(3221-3225)
IEEE DOI 2211
Training, Measurement, Visualization, Image synthesis, Image databases, Neural networks, Minimization, patch, generative adversarial networks BibRef

Mentzer, F.[Fabian], Agustsson, E.[Eirikur], Ballé, J.[Johannes], Minnen, D.[David], Johnston, N.[Nick], Toderici, G.[George],
Neural Video Compression Using GANs for Detail Synthesis and Propagation,
ECCV22(XXVI:562-578).
Springer DOI 2211
BibRef

Wu, C.F.[Chen-Fei], Liang, J.[Jian], Ji, L.[Lei], Yang, F.[Fan], Fang, Y.J.[Yue-Jian], Jiang, D.X.[Da-Xin], Duan, N.[Nan],
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion,
ECCV22(XVI:720-736).
Springer DOI 2211
BibRef

Epstein, D.[Dave], Park, T.[Taesung], Zhang, R.[Richard], Shechtman, E.[Eli], Efros, A.A.[Alexei A.],
BlobGAN: Spatially Disentangled Scene Representations,
ECCV22(XV:616-635).
Springer DOI 2211

WWW Link. BibRef

Bai, Q.Y.[Qing-Yan], Xu, Y.H.[Ying-Hao], Zhu, J.P.[Jia-Peng], Xia, W.H.[Wei-Hao], Yang, Y.J.[Yu-Jiu], Shen, Y.J.[Yu-Jun],
High-Fidelity GAN Inversion with Padding Space,
ECCV22(XV:36-53).
Springer DOI 2211
BibRef

Song, H.R.[Hao-Rui], Du, Y.[Yong], Xiang, T.Y.[Tian-Yi], Dong, J.Y.[Jun-Yu], Qin, J.[Jing], He, S.F.[Sheng-Feng],
Editing Out-of-Domain GAN Inversion via Differential Activations,
ECCV22(XVII:1-17).
Springer DOI 2211
BibRef

He, J.[Jing], Zhou, Y.[Yiyi], Zhang, Q.[Qi], Peng, J.[Jun], Shen, Y.H.[Yun-Hang], Sun, X.S.[Xiao-Shuai], Chen, C.[Chao], Ji, R.R.[Rong-Rong],
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation,
ECCV22(XIV:643-660).
Springer DOI 2211
BibRef

Chai, L.[Lucy], Gharbi, M.[Michaël], Shechtman, E.[Eli], Isola, P.[Phillip], Zhang, R.[Richard],
Any-Resolution Training for High-Resolution Image Synthesis,
ECCV22(XVI:170-188).
Springer DOI 2211
BibRef

Zhao, X.M.[Xiao-Ming], Ma, F.C.[Fang-Chang], Güera, D.[David], Ren, Z.[Zhile], Schwing, A.G.[Alexander G.], Colburn, A.[Alex],
Generative Multiplane Images: Making a 2D GAN 3D-Aware,
ECCV22(V:18-35).
Springer DOI 2211
BibRef

Yao, X.[Xu], Newson, A.[Alasdair], Gousseau, Y.[Yann], Hellier, P.[Pierre],
A Style-Based GAN Encoder for High Fidelity Reconstruction of Images and Videos,
ECCV22(XV:581-597).
Springer DOI 2211
BibRef

Kong, C.[Chaerin], Kim, J.[Jeesoo], Han, D.[Donghoon], Kwak, N.[Nojun],
Few-Shot Image Generation with Mixup-Based Distance Learning,
ECCV22(XV:563-580).
Springer DOI 2211
BibRef

Hong, Y.[Yan], Niu, L.[Li], Zhang, J.[Jianfu], Zhang, L.Q.[Li-Qing],
DeltaGAN: Towards Diverse Few-Shot Image Generation with Sample-Specific Delta,
ECCV22(XVI:259-276).
Springer DOI 2211
BibRef

Yang, M.P.[Meng-Ping], Wang, Z.[Zhe], Chi, Z.Q.[Zi-Qiu], Feng, W.[Wenyi],
WaveGAN: Frequency-Aware GAN for High-Fidelity Few-Shot Image Generation,
ECCV22(XV:1-17).
Springer DOI 2211
BibRef

Bae, J.[Jeongmin], Kwon, M.[Mingi], Uh, Y.[Youngjung],
FurryGAN: High Quality Foreground-Aware Image Synthesis,
ECCV22(XIV:696-712).
Springer DOI 2211
BibRef

Huang, X.[Xun], Mallya, A.[Arun], Wang, T.C.[Ting-Chun], Liu, M.Y.[Ming-Yu],
Multimodal Conditional Image Synthesis with Product-of-Experts GANs,
ECCV22(XVI:91-109).
Springer DOI 2211
BibRef

Zhan, F.N.[Fang-Neng], Yu, Y.C.[Ying-Chen], Wu, R.L.[Rong-Liang], Zhang, J.H.[Jia-Hui], Cui, K.W.[Kai-Wen], Zhang, C.G.[Chang-Gong], Lu, S.J.[Shi-Jian],
Auto-regressive Image Synthesis with Integrated Quantization,
ECCV22(XVI:110-127).
Springer DOI 2211
BibRef

Humayun, A.I.[Ahmed Imtiaz], Balestriero, R.[Randall], Baraniuk, R.[Richard],
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values,
CVPR22(10631-10640)
IEEE DOI 2210
Training, Jacobian matrices, Image synthesis, Force, Probability distribution, Generators, Deep learning architectures and techniques BibRef

Kumari, N.[Nupur], Zhang, R.[Richard], Shechtman, E.[Eli], Zhu, J.Y.[Jun-Yan],
Ensembling Off-the-shelf Models for GAN Training,
CVPR22(10641-10652)
IEEE DOI 2210
Training, Visualization, Computational modeling, Image and video synthesis and generation, Vision+graphics BibRef

Chen, J.W.[Jia-Wei], Yu, C.M.[Chia-Mu], Kao, C.C.[Ching-Chia], Pang, T.W.[Tzai-Wei], Lu, C.S.[Chun-Shien],
DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis,
CVPR22(8377-8386)
IEEE DOI 2210
Training, Visualization, Monte Carlo methods, Image resolution, Image synthesis, Markov processes, Sampling methods, privacy and ethics in vision BibRef

Chen, T.Y.[Tian-Yi], Zhang, Y.F.[Yun-Fei], Huo, X.Y.[Xiao-Yang], Wu, S.[Si], Xu, Y.[Yong], Wong, H.S.[Hau San],
SphericGAN: Semi-Supervised Hyper-Spherical Generative Adversarial Networks for Fine-Grained Image Synthesis,
CVPR22(9991-10000)
IEEE DOI 2210
Training, Image synthesis, Semantics, Training data, Organizations, Generative adversarial networks, Self- semi- meta- Image and video synthesis and generation BibRef

Mu, J.T.[Ji-Teng], de Mello, S.[Shalini], Yu, Z.D.[Zhi-Ding], Vasconcelos, N.M.[Nuno M.], Wang, X.L.[Xiao-Long], Kautz, J.[Jan], Liu, S.[Sifei],
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs,
CVPR22(10001-10010)
IEEE DOI 2210
Image segmentation, Shape, Face recognition, Computational modeling, Layout, Benchmark testing, Self- semi- meta- Image and video synthesis and generation BibRef

Kim, J.[Junho], Choi, Y.[Yunjey], Uh, Y.[Youngjung],
Feature Statistics Mixing Regularization for Generative Adversarial Networks,
CVPR22(11284-11293)
IEEE DOI 2210
Image quality, Visualization, Sensitivity, Codes, Image color analysis, Computer architecture, Image and video synthesis and generation BibRef

Zhang, Y.J.[Yun-Jian], Liu, Y.W.[Yan-Wei], Liu, J.X.[Jin-Xia], Miao, J.B.[Jing-Bo], Argyriou, A.[Antonios], Wang, L.M.[Li-Ming], Xu, Z.[Zhen],
360-Attack: Distortion-Aware Perturbations from Perspective-Views,
CVPR22(15015-15024)
IEEE DOI 2210
Deep learning, Systematics, Perturbation methods, Neural networks, Distortion, Adversarial attack and defense, grouping and shape analysis BibRef

Kahla, M.[Mostafa], Chen, S.[Si], Just, H.A.[Hoang Anh], Jia, R.X.[Ruo-Xi],
Label-Only Model Inversion Attacks via Boundary Repulsion,
CVPR22(15025-15033)
IEEE DOI 2210
Ethics, Face recognition, Semantics, Neural networks, Training data, Predictive models, privacy and ethics in vision BibRef

Thapar, D.[Daksh], Nigam, A.[Aditya], Arora, C.[Chetan],
Merry Go Round: Rotate a Frame and Fool a DNN,
CVPR22(15034-15043)
IEEE DOI 2210
Perturbation methods, Neural networks, Estimation, Cameras, Adversarial attack and defense, Video analysis and understanding BibRef

Xiong, Y.F.[Yi-Feng], Lin, J.[Jiadong], Zhang, M.[Min], Hopcroft, J.E.[John E.], He, K.[Kun],
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability,
CVPR22(14963-14972)
IEEE DOI 2210
Deep learning, Fuses, Stochastic processes, Network architecture, Boosting, Security, Adversarial attack and defense BibRef

Zhang, J.P.[Jian-Ping], Wu, W.B.[Wei-Bin], Huang, J.T.[Jen-Tse], Huang, Y.Z.[Yi-Zhan], Wang, W.X.[Wen-Xuan], Su, Y.X.[Yu-Xin], Lyu, M.R.[Michael R.],
Improving Adversarial Transferability via Neuron Attribution-based Attacks,
CVPR22(14973-14982)
IEEE DOI 2210
Deep learning, Codes, Computational modeling, Neurons, Neural networks, Estimation, Adversarial attack and defense BibRef

Hu, Z.H.[Zhan-Hao], Huang, S.Y.[Si-Yuan], Zhu, X.P.[Xiao-Pei], Sun, F.C.[Fu-Chun], Zhang, B.[Bo], Hu, X.L.[Xiao-Lin],
Adversarial Texture for Fooling Person Detectors in the Physical World,
CVPR22(13297-13306)
IEEE DOI 2210
Printing, Shape, Detectors, Cameras, Generators, Adversarial attack and defense, Recognition: detection, retrieval BibRef

Katsumata, K.[Kai], Vo, D.M.[Duc Minh], Nakayama, H.[Hideki],
OSSGAN: Open-Set Semi-Supervised Image Generation,
CVPR22(11175-11183)
IEEE DOI 2210
Training, Costs, Image synthesis, Self-supervised learning, Data collection, Entropy, Data models, Self- semi- meta- unsupervised learning BibRef

Liu, G.[Gaowen], Latapie, H.[Hugo], Kilic, O.[Ozkan], Lawrence, A.[Adam],
Parallel Generative Adversarial Network for Third-person to First-person Image Generation,
VOCVALC22(1916-1922)
IEEE DOI 2210
Image synthesis, Computational modeling, Generative adversarial networks, Task analysis BibRef

Gupta, S.[Sonam], Keshari, A.[Arti], Das, S.[Sukhendu],
RV-GAN: Recurrent GAN for Unconditional Video Generation,
WiCV22(2023-2032)
IEEE DOI 2210
Training, Architecture, Generative adversarial networks, Data models, Generators BibRef

Xue, Y.[Yang], Li, Y.H.[Yu-Heng], Singh, K.K.[Krishna Kumar], Lee, Y.J.[Yong Jae],
GIRAFFE HD: A High-Resolution 3D-aware Generative Model,
CVPR22(18419-18428)
IEEE DOI 2210
Solid modeling, Image resolution, Image synthesis, Computational modeling, Force, 3D from single images BibRef

Eek, J.[Jacob], Gustafsson, D.[David], Hollmann, L.[Ludwig], Nordberg, M.[Markus], Skog, I.[Isaac], Malmström, M.[Magnus],
A Novel and Fast Approach for Reconstructing CASSI-Raman Spectra using Generative Adversarial Networks,
IPTA22(1-6)
IEEE DOI 2206
Training, Runtime, Shape, Raman scattering, Generative adversarial networks, Real-time systems, Sensors, CASSI, Reconstruction BibRef

Pucci, R.[Rita], Micheloni, C.[Christian], Foresti, G.L.[Gian Luca], Martinel, N.[Niki],
CVGAN: Image Generation with Capsule Vector-VAE,
CIAP22(I:536-547).
Springer DOI 2205
BibRef

Choi, J.Y.[Joo-Young], Lee, J.[Jungbeom], Jeong, Y.[Yonghyun], Yoon, S.[Sungroh],
Toward Spatially Unbiased Generative Models,
ICCV21(14233-14242)
IEEE DOI 2203
Training, Image coding, Image synthesis, Noise reduction, Probabilistic logic, Generators, Image and video synthesis, BibRef

Garbin, S.J.[Stephan J.], Kowalski, M.[Marek], Johnson, M.[Matthew], Shotton, J.[Jamie], Valentin, J.[Julien],
FastNeRF: High-Fidelity Neural Rendering at 200FPS,
ICCV21(14326-14335)
IEEE DOI 2203
Visualization, Neural networks, Mixed reality, Graphics processing units, Rendering (computer graphics), 3D from multiview and other sensors BibRef

Choi, J.Y.[Joo-Young], Kim, S.[Sungwon], Jeong, Y.[Yonghyun], Gwon, Y.[Youngjune], Yoon, S.[Sungroh],
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models,
ICCV21(14347-14356)
IEEE DOI 2203
Denoising diffusion probabilistic models for generation. Image synthesis, Computational modeling, Noise reduction, Semantics, Refining, Probabilistic logic, BibRef

Planche, B.[Benjamin], Singh, R.V.[Rajat Vikram],
Physics-based Differentiable Depth Sensor Simulation,
ICCV21(14367-14377)
IEEE DOI 2203
2.5D data generation. Training, Adaptation models, Solid modeling, Computational modeling, Pipelines, Rendering (computer graphics), 3D from multiview and other sensors BibRef

Skorokhodov, I.[Ivan], Sotnikov, G.[Grigorii], Elhoseiny, M.[Mohamed],
Aligning Latent and Image Spaces to Connect the Unconnectable,
ICCV21(14124-14133)
IEEE DOI 2203

WWW Link. Measurement, Bridges, Interpolation, Codes, Image synthesis, Computational modeling, Image and video synthesis, Neural generative models BibRef

Mehta, I.[Ishit], Gharbi, M.[Michaël], Barnes, C.[Connelly], Shechtman, E.[Eli], Ramamoorthi, R.[Ravi], Chandraker, M.[Manmohan],
Modulated Periodic Activations for Generalizable Local Functional Representations,
ICCV21(14194-14203)
IEEE DOI 2203
Codes, Shape, Image color analysis, Modulation, Light fields, Image and video synthesis, Representation learning BibRef

Yang, H.T.[Hai-Tao], Zhang, Z.[Zaiwei], Yan, S.M.[Si-Ming], Huang, H.B.[Hai-Bin], Ma, C.Y.[Chong-Yang], Zheng, Y.[Yi], Bajaj, C.[Chandrajit], Huang, Q.X.[Qi-Xing],
Scene Synthesis via Uncertainty-Driven Attribute Synchronization,
ICCV21(5610-5620)
IEEE DOI 2203
Training, Solid modeling, Uncertainty, Shape, Neural networks, Layout, Neural generative models, Scene analysis and understanding BibRef

Wei, Y.X.[Yu-Xiang], Shi, Y.P.[Yu-Peng], Liu, X.[Xiao], Ji, Z.L.[Zhi-Long], Gao, Y.[Yuan], Wu, Z.Q.[Zhong-Qin], Zuo, W.M.[Wang-Meng],
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation,
ICCV21(6701-6710)
IEEE DOI 2203
Jacobian matrices, Codes, Image synthesis, Shape, Perturbation methods, Computational modeling, Image and video synthesis BibRef

Pavllo, D.[Dario], Kohler, J.[Jonas], Hofmann, T.[Thomas], Lucchi, A.[Aurelien],
Learning Generative Models of Textured 3D Meshes from Real-World Images,
ICCV21(13859-13869)
IEEE DOI 2203
Solid modeling, Codes, Annotations, Computational modeling, Semantics, Image and video synthesis, Neural generative models BibRef

Jiang, L.M.[Li-Ming], Dai, B.[Bo], Wu, W.[Wayne], Loy, C.C.[Chen Change],
Focal Frequency Loss for Image Reconstruction and Synthesis,
ICCV21(13899-13909)
IEEE DOI 2203
Frequency synthesizers, Adaptation models, Frequency-domain analysis, Neural networks, Linear programming, BibRef

Chang, K.H.[Kai-Hung], Cheng, C.Y.[Chin-Yi], Luo, J.[Jieliang], Murata, S.[Shingo], Nourbakhsh, M.[Mehdi], Tsuji, Y.[Yoshito],
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation,
ICCV21(11936-11945)
IEEE DOI 2203
Geometry, Measurement, Solid modeling, Buildings, Pipelines, Layout, Vision applications and systems, Vision + other modalities BibRef

Saseendran, A.[Amrutha], Skubch, K.[Kathrin], Keuper, M.[Margret],
Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation,
ICCV21(6742-6751)
IEEE DOI 2203
Training, Representation learning, Deep learning, Image resolution, Image synthesis, Layout, Training data, Neural generative models, Adversarial learning BibRef

Ruan, S.[Shulan], Zhang, Y.[Yong], Zhang, K.[Kun], Fan, Y.B.[Yan-Bo], Tang, F.[Fan], Liu, Q.[Qi], Chen, E.[Enhong],
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis,
ICCV21(13940-13949)
IEEE DOI 2203
Image synthesis, Semantics, Image and video synthesis, BibRef

Kang, K.[Kyoungkook], Kim, S.[Seongtae], Cho, S.[Sunghyun],
GAN Inversion for Out-of-Range Images with Geometric Transformations,
ICCV21(13921-13929)
IEEE DOI 2203
Training, Codes, Image resolution, Semantics, Graphics processing units, Optimization, Neural generative models BibRef

Vecchio, G.[Giuseppe], Palazzo, S.[Simone], Spampinato, C.[Concetto],
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image,
ICCV21(12820-12828)
IEEE DOI 2203
Reflectivity, Training, Surface reconstruction, Estimation, Reconstruction algorithms, Predictive models, Neural generative models BibRef

Gadde, R.[Raghudeep], Feng, Q.L.[Qian-Li], Martinez, A.M.[Aleix M.],
Detail Me More: Improving GAN's photo-realism of complex scenes,
ICCV21(13930-13939)
IEEE DOI 2203
Image resolution, Shape, Nose, Mouth, Generative adversarial networks, Generators, BibRef

Ying, H.[Hui], Wang, H.[He], Shao, T.J.[Tian-Jia], Yang, Y.[Yin], Zhou, K.[Kun],
Unsupervised Image Generation with Infinite Generative Adversarial Networks,
ICCV21(14264-14273)
IEEE DOI 2203
Codes, Image synthesis, Generative adversarial networks, Image and video synthesis, Machine learning architectures and formulations BibRef

Yu, Y.C.[Ying-Chen], Zhan, F.N.[Fang-Neng], Lu, S.J.[Shi-Jian], Pan, J.X.[Jian-Xiong], Ma, F.Y.[Fei-Ying], Xie, X.S.[Xuan-Song], Miao, C.Y.[Chun-Yan],
WaveFill: A Wavelet-based Generation Network for Image Inpainting,
ICCV21(14094-14103)
IEEE DOI 2203
Frequency synthesizers, Wavelet domain, Fuses, Generative adversarial networks, Hybrid power systems, Neural generative models BibRef

Li, Y.H.[Yu-Heng], Li, Y.J.[Yi-Jun], Lu, J.W.[Jing-Wan], Shechtman, E.[Eli], Lee, Y.J.[Yong Jae], Singh, K.K.[Krishna Kumar],
Collaging Class-specific GANs for Semantic Image Synthesis,
ICCV21(14398-14407)
IEEE DOI 2203
Training, Image segmentation, Image resolution, Image synthesis, Semantics, Training data, Image and video synthesis, BibRef

Han, L.G.[Li-Gong], Min, M.R.[Martin Renqiang], Stathopoulos, A.[Anastasis], Tian, Y.[Yu], Gao, R.J.[Rui-Jiang], Kadav, A.[Asim], Metaxas, D.N.[Dimitris N>],
Dual Projection Generative Adversarial Networks for Conditional Image Generation,
ICCV21(14418-14427)
IEEE DOI 2203
Training, Image synthesis, Computational modeling, Generative adversarial networks, Generators, Data models, Adversarial learning BibRef

Luo, A.[Andrew], Li, T.Q.[Tian-Qin], Zhang, W.H.[Wen-Hao], Lee, T.S.[Tai Sing],
SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators,
ICCV21(16218-16228)
IEEE DOI 2203
Training, Geometry, Solid modeling, Shape, Pipelines, Generators, Adversarial learning, 3D from a single image and shape-from-x, Representation learning BibRef

Mustikovela, S.K.[Siva Karthik], de Mello, S.[Shalini], Prakash, A.[Aayush], Iqbal, U.[Umar], Liu, S.[Sifei], Nguyen-Phuoc, T.[Thu], Rother, C.[Carsten], Kautz, J.[Jan],
Self-Supervised Object Detection via Generative Image Synthesis,
ICCV21(8589-8598)
IEEE DOI 2203
Training, Couplings, Image synthesis, Object detection, Detectors, Transfer/Low-shot/Semi/Unsupervised Learning, Detection and localization in 2D and 3D BibRef

Girish, S.[Sharath], Suri, S.[Saksham], Rambhatla, S.[Saketh], Shrivastava, A.[Abhinav],
Towards Discovery and Attribution of Open-world GAN Generated Images,
ICCV21(14074-14083)
IEEE DOI 2203
Training, Visualization, Pipelines, Clustering algorithms, Fingerprint recognition, Media, Generative adversarial networks, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Hao, Z.K.[Ze-Kun], Mallya, A.[Arun], Belongie, S.[Serge], Liu, M.Y.[Ming-Yu],
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds,
ICCV21(14052-14062)
IEEE DOI 2203
Training, Geometry, Semantics, Rendering (computer graphics), Cameras, Image and video synthesis, Neural generative models BibRef

Pestana, C.[Camilo], Akhtar, N.[Naveed], Rahnavard, N.[Nazanin], Shah, M.[Mubarak], Mian, A.[Ajmal],
Transferable 3D Adversarial Textures using End-to-end Optimization,
WACV22(727-736)
IEEE DOI 2202
Solid modeling, Visualization, Computational modeling, Pipelines, Adversarial Attack and Defense Methods BibRef

Pestana, C.[Camilo], Mian, A.[Ajmal],
Attacking Image Classifiers To Generate 3D Textures,
3DV21(1115-1124)
IEEE DOI 2201
Measurement, Deep learning, Visualization, Solid modeling, Image synthesis, Superresolution BibRef

Courtial, A., Touya, G., Zhang, X.,
Generative Adversarial Networks to Generalise Urban Areas In Topographic Maps,
ISPRS21(B4-2021: 15-22).
DOI Link 2201
BibRef

Fedorova, S., Tono, A., Nigam, M.S., Zhang, J., Ahmadnia, A., Bolognesi, C., Michels, D.,
Synthetic Data Generation Pipeline for Geometric Deep Learning In Architecture,
ISPRS21(B2-2021: 337-344).
DOI Link 2201
BibRef

Cardenas, B.[Bryan], Arya, D.[Devanshu], Gupta, D.K.[Deepak K.],
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects,
ICIP21(834-838)
IEEE DOI 2201
Training, Image segmentation, Biological system modeling, Semantics, Layout, Spatial coherence, Remote sensing, Data Augmentation BibRef

Andonian, A.[Alex], Park, T.[Taesung], Russell, B.[Bryan], Isola, P.[Phillip], Zhu, J.Y.[Jun-Yan], Zhang, R.[Richard],
Contrastive Feature Loss for Image Prediction,
AIM21(1934-1943)
IEEE DOI 2112
Training, Image synthesis, Generative adversarial networks, Extraterrestrial measurements BibRef

Ibing, M.[Moritz], Lim, I.[Isaak], Kobbelt, L.[Leif],
3D Shape Generation with Grid-based Implicit Functions,
CVPR21(13554-13563)
IEEE DOI 2111
Shape, Statistical analysis, Microprocessors, Current measurement, Shape measurement, Process control BibRef

Mezghanni, M.[Mariem], Boulkenafed, M.[Malika], Lieutier, A.[André], Ovsjanikov, M.[Maks],
Physically-aware Generative Network for 3D Shape Modeling,
CVPR21(9326-9337)
IEEE DOI 2111
Consider physical constraints. Training, Visualization, Solid modeling, Shape, Neural networks, Stability analysis BibRef

Ye, N.[Nanyang], Tang, J.X.[Jing-Xuan], Deng, H.Y.[Hua-Yu], Zhou, X.Y.[Xiao-Yun], Li, Q.X.[Qian-Xiao], Li, Z.G.[Zhen-Guo], Yang, G.Z.[Guang-Zhong], Zhu, Z.X.[Zhan-Xing],
Adversarial Invariant Learning,
CVPR21(12441-12449)
IEEE DOI 2111
Training, Correlation, Machine learning algorithms, Prediction algorithms, Robustness BibRef

Li, M.J.[Min-Jun], Jin, Y.H.[Yang-Hua], Zhu, H.C.[Hua-Chun],
Surrogate Gradient Field for Latent Space Manipulation,
CVPR21(6525-6534)
IEEE DOI 2111
Measurement, Codes, Natural languages, Generative adversarial networks BibRef

Xu, R.[Rui], Wang, X.[Xintao], Chen, K.[Kai], Zhou, B.[Bolei], Loy, C.C.[Chen Change],
Positional Encoding as Spatial Inductive Bias in GANs,
CVPR21(13564-13573)
IEEE DOI 2111
Training, Image coding, Image synthesis, Generators, Encoding BibRef

Wen, Y.H.[Yu-Hui], Yang, Z.P.[Zhi-Peng], Fu, H.B.[Hong-Bo], Gao, L.[Lin], Sun, Y.[Yanan], Liu, Y.J.[Yong-Jin],
Autoregressive Stylized Motion Synthesis with Generative Flow,
CVPR21(13607-13607)
IEEE DOI 2111
Training, Deep learning, Codes, Training data, Games, Probabilistic logic BibRef

Le Moing, G.[Guillaume], Vu, T.H.[Tuan-Hung], Jain, H.[Himalaya], Pérez, P.[Patrick], Cord, M.[Matthieu],
Semantic Palette: Guiding Scene Generation with Class Proportions,
CVPR21(9338-9346)
IEEE DOI 2111
Training, Measurement, Image segmentation, Image synthesis, Semantics, Layout, Process control BibRef

Niemeyer, M.[Michael], Geiger, A.[Andreas],
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields,
CVPR21(11448-11459)
IEEE DOI 2111
Solid modeling, Image resolution, Image synthesis, Shape, Pipelines BibRef

Tousi, A.[Ali], Jeong, H.[Haedong], Han, J.[Jiyeon], Choi, H.[Hwanil], Choi, J.[Jaesik],
Automatic Correction of Internal Units in Generative Neural Networks,
CVPR21(7928-7936)
IEEE DOI 2111
Training, Visualization, Codes, Image synthesis, Neural networks, Complex networks BibRef

Pal, A.[Arghya], Phan, R.C.W.[Raphaël C.W.], Wong, K.S.[Kok-Sheik],
Synthesize-It-Classifier: Learning a Generative Classifier through Recurrent Self-analysis,
CVPR21(5157-5166)
IEEE DOI 2111
Training, Knowledge engineering, Interpolation, Computational modeling, Generators BibRef

Zadorozhnyy, V.[Vasily], Cheng, Q.[Qiang], Ye, Q.[Qiang],
Adaptive Weighted Discriminator for Training Generative Adversarial Networks,
CVPR21(4779-4788)
IEEE DOI 2111
Training, Measurement, Image synthesis, Neural networks, Machine learning, Generative adversarial networks BibRef

Skorokhodov, I.[Ivan], Ignatyev, S.[Savva], Elhoseiny, M.[Mohamed],
Adversarial Generation of Continuous Images,
CVPR21(10748-10759)
IEEE DOI 2111
Learning systems, Interpolation, Image synthesis, Superresolution, Modulation, Solids BibRef

Zhang, X.C.[Xian-Chao], Cheng, Z.Y.[Zi-Yang], Zhang, X.T.[Xiao-Tong], Liu, H.[Han],
Posterior Promoted GAN with Distribution Discriminator for Unsupervised Image Synthesis,
CVPR21(6515-6524)
IEEE DOI 2111
Training, Manifolds, Interpolation, Image synthesis, Computational modeling, Gaussian distribution BibRef

Afifi, M.[Mahmoud], Brubaker, M.A.[Marcus A.], Brown, M.S.[Michael S.],
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms,
CVPR21(7937-7946)
IEEE DOI 2111
Graphics, Histograms, Image color analysis, Image synthesis, Semantics, Generative adversarial networks BibRef

Chan, E.R.[Eric R.], Monteiro, M.[Marco], Kellnhofer, P.[Petr], Wu, J.J.[Jia-Jun], Wetzstein, G.[Gordon],
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis,
CVPR21(5795-5805)
IEEE DOI 2111
Image quality, Visualization, Image synthesis, Rendering (computer graphics) BibRef

Kim, S.W.[Seung Wook], Philion, J.[Jonah], Torralba, A.B.[Antonio B.], Fidler, S.[Sanja],
DriveGAN: Towards a Controllable High-Quality Neural Simulation,
CVPR21(5816-5825)
IEEE DOI 2111
Training, Computational modeling, Video sequences, Machine learning, Generative adversarial networks, Controllability BibRef

Zhang, Y.F.[Yi-Fei], Briq, R.[Rania], Tanke, J.[Julian], Gall, J.[Juergen],
Adversarial Synthesis of Human Pose from Text,
GCPR20(145-158).
Springer DOI 2110
BibRef

Sushko, V.[Vadim], Gall, J.[Jürgen], Khoreva, A.[Anna],
One-Shot GAN: Learning to Generate Samples from Single Images and Videos,
LLID21(2596-2600)
IEEE DOI 2109
Training, Visualization, Computational modeling, Layout, Tools BibRef

Patel, P.[Parth], Kumari, N.[Nupur], Singh, M.[Mayank], Krishnamurthy, B.[Balaji],
LT-GAN: Self-Supervised GAN with Latent Transformation Detection,
WACV21(3188-3197)
IEEE DOI 2106
Training, Measurement, Image synthesis, Computational modeling, Generative adversarial networks BibRef

Muñoz, A.[Andrés], Zolfaghari, M.[Mohammadreza], Argus, M.[Max], Brox, T.[Thomas],
Temporal Shift GAN for Large Scale Video Generation,
WACV21(3178-3187)
IEEE DOI 2106
Measurement, Interpolation, Analytical models, Solid modeling, Semantics, Writing BibRef

Arora, R.[Rajat], Lee, Y.J.[Yong Jae],
SinGAN-GIF: Learning a Generative Video Model from a Single GIF,
WACV21(1309-1318)
IEEE DOI 2106
Training, Solid modeling, Limiting, Computational modeling BibRef

Mukherjee, S.[Subhadip], Öktem, O.[Ozan], Schönlieb, C.B.[Carola-Bibiane],
Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems,
SSVM21(540-552).
Springer DOI 2106
BibRef

Huang, W.M.[Wan-Ming], Xu, R.Y.D.[Richard Yi Da], Jiang, S.[Shuai], Liang, X.[Xuan], Oppermann, I.[Ian],
GAN-based Gaussian Mixture Model Responsibility Learning,
ICPR21(3467-3474)
IEEE DOI 2105
Phase change materials, Technological innovation, Image synthesis, Probability, Generative adversarial networks, Generators BibRef

Wang, R.J.[Ruo-Jing], Sun, Z.T.[Zi-Tang], Kamata, S.I.[Sei-Ichiro],
Adaptive Image Compression Using GAN based Semantic-perceptual Residual Compensation,
ICPR21(9030-9037)
IEEE DOI 2105
Strips, Image coding, Adaptive systems, Quantization (signal), Semantics, Generative adversarial networks BibRef

Kao, H.K.[Hsuan-Kai], Lee, C.C.[Cheng-Che], Chiu, W.C.[Wei-Chen],
Learning Low-Shot Generative Networks for Cross-Domain Data,
ICPR21(6818-6825)
IEEE DOI 2105
Training data, Data visualization, Generators, Data models, Task analysis, Faces BibRef

Ani, M.[Mohammad], Basevi, H.[Hector], Leonardis, A.[Aleš],
Quantifying the Use of Domain Randomization,
ICPR21(6128-6135)
IEEE DOI 2105
In image synthesis. Training, Image synthesis, Machine vision, Labeling, Task analysis, Image classification BibRef

Kawanishi, Y.[Yasutomo], Deguchi, D.[Daisuke], Ide, I.[Ichiro], Murase, H.[Hiroshi],
O-GAN: Object Manifold Embedding GAN for Image Generation by Disentangling Parameters into Pose and Shape Manifolds,
ICPR21(7945-7952)
IEEE DOI 2105
Manifolds, Training, Shape, Image synthesis, Pose estimation, Generators BibRef

Bonettini, N.[Nicolò], Bestagini, P.[Paolo], Milani, S.[Simone], Tubaro, S.[Stefano],
On the use of Benford's law to detect GAN-generated images,
ICPR21(5495-5502)
IEEE DOI 2105
Focusing, Feature extraction, Generative adversarial networks, Discrete cosine transforms, Task analysis, Benford's law BibRef

Mousavi, M.[Mehdi], Khanal, A.[Aashis], Estrada, R.[Rolando],
AI Playground: Unreal Engine-based Data Ablation Tool for Deep Learning,
ISVC20(II:518-532).
Springer DOI 2103
Tool for generating and labeling virtual image data. BibRef

Sun, J.[Jiaze], Bhattarai, B.[Binod], Kim, T.K.[Tae-Kyun],
MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network,
ACCV20(IV:608-623).
Springer DOI 2103
BibRef

Ditria, L.[Luke], Meyer, B.J.[Benjamin J.], Drummond, T.[Tom],
Opengan: Open Set Generative Adversarial Networks,
ACCV20(IV:474-492).
Springer DOI 2103
BibRef

Park, C.J.[Chan-Jong], Lee, I.K.[In-Kwon],
Emotional Landscape Image Generation Using Generative Adversarial Networks,
ACCV20(IV:573-590).
Springer DOI 2103
BibRef

Chang, T.Y.[Ting-Yun], Lu, C.J.[Chi-Jen],
TinyGAN: Distilling BigGAN for Conditional Image Generation,
ACCV20(IV:509-525).
Springer DOI 2103
BibRef

Bhattacharjee, R.K.[Rajat Kanti], Nandi, M.[Meghali], Jha, A.[Amrit], Kalita, G.[Gunajit], Barbhuiya, F.A.[Ferdous Ahmed],
Handloom Design Generation Using Generative Networks,
ICIP20(1606-1610)
IEEE DOI 2011
Task analysis, Neural networks, Image color analysis, Training, Industries, Data models, Generative Neural Network BibRef

Mirzaei, M.S., Meshgi, K., Frigo, E., Nishida, T.,
AnimGAN: A Spatiotemporally-Conditioned Generative Adversarial Network For Character Animation,
ICIP20(2286-2290)
IEEE DOI 2011
Generators, Spatiotemporal phenomena, Animation, Training, Generative adversarial networks, Semantics, Generative Adversarial Networks BibRef

Schlosser, T., Beuth, F., Kowerko, D.,
Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation,
ICIP20(848-852)
IEEE DOI 2011
Machine learning, Image generation, Lattices, Neural networks, Kernel, Computational modeling, Image Generation BibRef

Akan, A.K., Genc, M.A., Vural, F.T.Y.,
Just Noticeable Difference for Machines to Generate Adversarial Images,
ICIP20(1901-1905)
IEEE DOI 2011
Machine learning algorithms, Machine learning, Task analysis, Cost function, Object detection, Mathematical model, Generators, Just Noticeable Difference BibRef

Benny, Y.[Yaniv], Wolf, L.B.[Lior B.],
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-grained Clustering,
ECCV20(XXVI:514-530).
Springer DOI 2011
BibRef

Augustin, M.[Maximilian], Meinke, A.[Alexander], Hein, M.[Matthias],
Adversarial Robustness on In- and Out-distribution Improves Explainability,
ECCV20(XXVI:228-245).
Springer DOI 2011
BibRef

Lee, W.[Wonkwang], Kim, D.[Donggyun], Hong, S.[Seunghoon], Lee, H.L.[Hong-Lak],
High-fidelity Synthesis with Disentangled Representation,
ECCV20(XXVI:157-174).
Springer DOI 2011
Code, Image Synthesis.
WWW Link. BibRef

Ak, K.E.[Kenan E.], Xu, N.[Ning], Lin, Z.[Zhe], Wang, Y.L.[Yi-Lin],
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation,
ECCV20(XXI:18-34).
Springer DOI 2011
BibRef

Tseng, H.Y.[Hung-Yu], Lee, H.Y.[Hsin-Ying], Jiang, L.[Lu], Yang, M.H.[Ming-Hsuan], Yang, W.L.[Wei-Long],
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval,
ECCV20(VIII:242-257).
Springer DOI 2011
BibRef

Logacheva, E.[Elizaveta], Suvorov, R.[Roman], Khomenko, O.[Oleg], Mashikhin, A.[Anton], Lempitsky, V.[Victor],
DeepLandscape: Adversarial Modeling of Landscape Videos,
ECCV20(XXIII:256-272).
Springer DOI 2011
BibRef

Zhu, B., Ngo, C.,
CookGAN: Causality Based Text-to-Image Synthesis,
CVPR20(5518-5526)
IEEE DOI 2008
Image generation, Generators, Visualization, Image resolution, Semantics, Feature extraction BibRef

Li, B., Qi, X., Lukasiewicz, T., Torr, P.H.S.,
ManiGAN: Text-Guided Image Manipulation,
CVPR20(7877-7886)
IEEE DOI 2008
Image reconstruction, Visualization, Fuses, Image representation, Semantics, Generative adversarial networks BibRef

Surya, S., Setlur, A., Biswas, A., Negi, S.,
ReStGAN: A step towards visually guided shopper experience via text-to-image synthesis,
WACV20(1189-1197)
IEEE DOI 2006
Image color analysis, Generators, Training, Generative adversarial networks, Image resolution, Data models BibRef

Liao, Y., Schwarz, K., Mescheder, L., Geiger, A.,
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis,
CVPR20(5870-5879)
IEEE DOI 2008
Solid modeling, Image generation, Rendering (computer graphics), Task analysis BibRef

Volokitin, A., Konukoglu, E., Van Gool, L.J.,
Decomposing Image Generation into Layout Prediction and Conditional Synthesis,
CICV20(1530-1538)
IEEE DOI 2008
Image segmentation, Generators, Image generation, Generative adversarial networks, Semantics, Training BibRef

Li, Y., Cheng, Y., Gan, Z., Yu, L., Wang, L., Liu, J.,
BachGAN: High-Resolution Image Synthesis From Salient Object Layout,
CVPR20(8362-8371)
IEEE DOI 2008
Layout, Image segmentation, Semantics, Image generation, Task analysis, Generative adversarial networks BibRef

Choi, Y., Uh, Y., Yoo, J., Ha, J.,
StarGAN v2: Diverse Image Synthesis for Multiple Domains,
CVPR20(8185-8194)
IEEE DOI 2008
Generators, Training, Visualization, Transforms, Image generation, Animals, Image reconstruction BibRef

Tang, H., Xu, D., Yan, Y., Torr, P.H.S., Sebe, N.,
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation,
CVPR20(7867-7876)
IEEE DOI 2008
Semantics, Generators, Task analysis, Image generation, Generative adversarial networks, Context modeling BibRef

Zhu, P., Abdal, R., Qin, Y., Wonka, P.,
SEAN: Image Synthesis With Semantic Region-Adaptive Normalization,
CVPR20(5103-5112)
IEEE DOI 2008
Semantics, Image segmentation, Image generation, Generative adversarial networks, Generators, Training BibRef

Wang, J., Zhou, W., Qi, G., Fu, Z., Tian, Q., Li, H.,
Transformation GAN for Unsupervised Image Synthesis and Representation Learning,
CVPR20(469-478)
IEEE DOI 2008
Feature extraction, Generative adversarial networks, Generators, Training, Image generation BibRef

Ghosh, A.[Arnab], Zhang, R.[Richard], Dokania, P.[Puneet], Wang, O.[Oliver], Efros, A.[Alexei], Torr, P.H.S.[Philip H.S.], Shechtman, E.[Eli],
Interactive Sketch Fill: Multiclass Sketch-to-Image Translation,
ICCV19(1171-1180)
IEEE DOI 2004
image classification, interactive systems, neural nets, user interfaces, interactive sketch & fill, interactive GAN, Switches BibRef

Tan, H., Liu, X., Li, X., Zhang, Y., Yin, B.,
Semantics-Enhanced Adversarial Nets for Text-to-Image Synthesis,
ICCV19(10500-10509)
IEEE DOI 2004
image representation, image segmentation, neural nets, realistic images, text analysis, SEGAN, Stability analysis BibRef

Lao, Q., Havaei, M., Pesaranghader, A., Dutil, F., Jorio, L.D., Fevens, T.,
Dual Adversarial Inference for Text-to-Image Synthesis,
ICCV19(7566-7575)
IEEE DOI 2004
image processing, inference mechanisms, learning (artificial intelligence), text analysis, Task analysis BibRef

Qiao, T.T.[Ting-Ting], Zhang, J.[Jing], Xu, D.Q.[Duan-Qing], Tao, D.C.[Da-Cheng],
MirrorGAN: Learning Text-To-Image Generation by Redescription,
CVPR19(1505-1514).
IEEE DOI 2002
BibRef

Yanagi, R., Togo, R., Ogawa, T., Haseyama, M.,
Scene Retrieval for Video Summarization Based on Text-to-Image GAN,
ICIP19(1825-1829)
IEEE DOI 1910
Scene retrieval, video summarization, text-to-image GAN, deep learning BibRef

Zhu, M.F.[Min-Feng], Pan, P.B.[Ping-Bo], Chen, W.[Wei], Yang, Y.[Yi],
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis,
CVPR19(5795-5803).
IEEE DOI 2002
BibRef

Shocher, A., Bagon, S., Isola, P., Irani, M.,
InGAN: Capturing and Retargeting the 'DNA' of a Natural Image,
ICCV19(4491-4500)
IEEE DOI 2004
image texture, learning (artificial intelligence), internal patch-distribution, InGAN, natural image, image dataset, Image reconstruction BibRef

Yushchenko, V., Araslanov, N., Roth, S.,
Markov Decision Process for Video Generation,
HVU19(1523-1532)
IEEE DOI 2004
image motion analysis, image recognition, Markov processes, neural nets, video signal processing, Markov decision process, GAN BibRef

Mao, Q.[Qi], Lee, H.Y.[Hsin-Ying], Tseng, H.Y.[Hung-Yu], Ma, S.W.[Si-Wei], Yang, M.H.[Ming-Hsuan],
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis,
CVPR19(1429-1437).
IEEE DOI 2002
BibRef

Zhan, F.N.[Fang-Neng], Zhu, H.Y.[Hong-Yuan], Lu, S.J.[Shi-Jian],
Spatial Fusion GAN for Image Synthesis,
CVPR19(3648-3657).
IEEE DOI 2002
BibRef

Liu, R.[Rui], Ge, Y.X.[Yi-Xiao], Choi, C.L.[Ching Lam], Wang, X.G.[Xiao-Gang], Li, H.S.[Hong-Sheng],
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network,
CVPR21(16372-16381)
IEEE DOI 2111
Training, Visualization, Codes, Correlation, Image synthesis, Generative adversarial networks BibRef

Liu, R.[Rui], Liu, Y.[Yu], Gong, X.Y.[Xin-Yu], Wang, X.G.[Xiao-Gang], Li, H.S.[Hong-Sheng],
Conditional Adversarial Generative Flow for Controllable Image Synthesis,
CVPR19(7984-7993).
IEEE DOI 2002
BibRef

Wu, S.[Si], Deng, G.C.[Guang-Chang], Li, J.C.[Ji-Chang], Li, R.[Rui], Yu, Z.W.[Zhi-Wen], Wong, H.S.[Hau-San],
Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification,
CVPR19(10083-10092).
IEEE DOI 2002
BibRef

Mizginov, V.A., Danilov, S.Y.,
Synthetic Thermal Background and Object Texture Generation Using Geometric Information and GAN,
PTVSBB19(149-154).
DOI Link 1912
BibRef

Park, M., Kim, H.G., Ro, Y.M.[Y. Man],
Generative Guiding Block: Synthesizing Realistic Looking Variants Capable of Even Large Change Demands,
ICIP19(4444-4448)
IEEE DOI 1910
Deep learning, adversarial learning, variation image synthesis, feature enhancement BibRef

Chen, K.[Kevin], Choy, C.B.[Christopher B.], Savva, M.[Manolis], Chang, A.X.[Angel X.], Funkhouser, T.[Thomas], Savarese, S.[Silvio],
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings,
ACCV18(III:100-116).
Springer DOI 1906
Generating colored 3D shapes from natural language. BibRef

Hsu, S.Y.[Shu-Yu], Yang, C.Y.[Chih-Yuan], Huang, C.C.[Chi-Chia], Hsu, J.Y.J.[Jane Yung-Jen],
SemiStarGAN: Semi-supervised Generative Adversarial Networks for Multi-domain Image-to-Image Translation,
ACCV18(IV:338-353).
Springer DOI 1906
BibRef

Xian, W., Sangkloy, P., Agrawal, V., Raj, A., Lu, J., Fang, C., Yu, F., Hays, J.,
TextureGAN: Controlling Deep Image Synthesis with Texture Patches,
CVPR18(8456-8465)
IEEE DOI 1812
Image generation, Image color analysis, Pipelines, Training, Task analysis, Generators BibRef

Sangkloy, P., Lu, J., Fang, C., Yu, F., Hays, J.,
Scribbler: Controlling Deep Image Synthesis with Sketch and Color,
CVPR17(6836-6845)
IEEE DOI 1711
Pattern recognition BibRef

Gurumurthy, S.[Swaminathan], Sarvadevabhatla, R.K.[Ravi Kiran], Babu, R.V.[R. Venkatesh],
DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data,
CVPR17(4941-4949)
IEEE DOI 1711
Generating realistic images. Generators, Mathematical model, Mixture models, Training, Training data, Transforms BibRef

Hu, L., Kan, M., Shan, S., Chen, X.,
Duplex Generative Adversarial Network for Unsupervised Domain Adaptation,
CVPR18(1498-1507)
IEEE DOI 1812
Generators, Generative adversarial networks, Measurement, Feature extraction, Testing, Object recognition BibRef

Ren, Z.Z.[Zhong-Zheng], Yu, Z.D.[Zhi-Ding], Yang, X.D.[Xiao-Dong], Liu, M.Y.[Ming-Yu], Schwing, A.G.[Alexander G.], Kautz, J.[Jan],
Ufo2: A Unified Framework Towards Omni-supervised Object Detection,
ECCV20(XIX:288-313).
Springer DOI 2011
BibRef

Tulyakov, S.[Sergey], Liu, M.Y.[Ming-Yu], Yang, X.D.[Xiao-Dong], Kautz, J.[Jan],
MoCoGAN: Decomposing Motion and Content for Video Generation,
CVPR18(1526-1535)
IEEE DOI 1812
Generators, Training, Image generation, Trajectory, Generative adversarial networks, Visualization BibRef

Xiong, W., Luo, W., Ma, L., Liu, W., Luo, J.,
Learning to Generate Time-Lapse Videos Using Multi-stage Dynamic Generative Adversarial Networks,
CVPR18(2364-2373)
IEEE DOI 1812
Videos, Generative adversarial networks, Generators, Dynamics, Convolution BibRef

Volpi, R., Morerio, P., Savarese, S., Murino, V.,
Adversarial Feature Augmentation for Unsupervised Domain Adaptation,
CVPR18(5495-5504)
IEEE DOI 1812
Feature extraction, Training, Games, Generative adversarial networks, Generators, Neural networks BibRef

Wang, T., Liu, M., Zhu, J., Tao, A., Kautz, J., Catanzaro, B.,
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs,
CVPR18(8798-8807)
IEEE DOI 1812
Generators, Image resolution, Semantics, Training, Image generation, Task analysis BibRef

Liu, X., Meng, G., Xiang, S., Pan, C.,
Semantic Image Synthesis via Conditional Cycle-Generative Adversarial Networks,
ICPR18(988-993)
IEEE DOI 1812
Birds, Generators, Generative adversarial networks, Semantics, Training, Image generation BibRef

Chen, X.Y.[Xin-Yuan], Xu, C.[Chang], Yang, X.K.[Xiao-Kang], Tao, D.C.[Da-Cheng],
Attention-GAN for Object Transfiguration in Wild Images,
ECCV18(II: 167-184).
Springer DOI 1810
BibRef

He, Y.[Yang], Schiele, B.[Bernt], Fritz, M.[Mario],
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes,
ECCV18(XVI: 422-437).
Springer DOI 1810
BibRef

Wang, K.[Kai], Yang, F.[Fei], Raducanu, B.[Bogdan], van de Weijer, J.[Joost],
Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier,
WACV25(4400-4409)
IEEE DOI 2505
Learning systems, Adaptation models, Text to image, Faces, diffusion models, image recognition, categorization BibRef

Wang, Y.X.[Ya-Xing], Wu, C.S.[Chen-Shen], Herranz, L.[Luis], van de Weijer, J.[Joost], Gonzalez-Garcia, A.[Abel], Raducanu, B.[Bogdan],
Transferring GANs: Generating Images from Limited Data,
ECCV18(VI: 220-236).
Springer DOI 1810
BibRef

Bodla, N.[Navaneeth], Hua, G.[Gang], Chellappa, R.[Rama],
Semi-supervised FusedGAN for Conditional Image Generation,
ECCV18(VI: 689-704).
Springer DOI 1810
BibRef

Lu, Y.Y.[Yong-Yi], Wu, S.Z.[Shang-Zhe], Tai, Y.W.[Yu-Wing], Tang, C.K.[Chi-Keung],
Image Generation from Sketch Constraint Using Contextual GAN,
ECCV18(XVI: 213-228).
Springer DOI 1810
BibRef

Li, C., Wang, Z., Qi, H.,
Fast-Converging Conditional Generative Adversarial Networks for Image Synthesis,
ICIP18(2132-2136)
IEEE DOI 1809
Generators, Generative adversarial networks, Convergence, Image generation, Visualization, Training, image synthesis BibRef

Vo, D.M.[Duc Minh], Sugimoto, A.[Akihiro],
Paired-D GAN for Semantic Image Synthesis,
ACCV18(IV:468-484).
Springer DOI 1906
BibRef

Alvarez-Gila, A., van de Weijer, J.[Joost], Garrote, E.,
Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB,
PBVDL17(480-490)
IEEE DOI 1802
Generators, Hyperspectral imaging, Image reconstruction, Imaging, Semantics BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Countering Adversarial Attacks, Defense, Robustness .