14.5.8.8.1 Adversarial Networks for Image Synthesis

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

Xu, W.J.[Wen-Ju], Keshmiri, S.[Shawn], Wang, G.H.[Guang-Hui],
Adversarially Approximated Autoencoder for Image Generation and Manipulation,
MultMed(21), No. 9, September 2019, pp. 2387-2396.
IEEE DOI 1909
Training, Neural networks, Data models, Image reconstruction, Image generation, latent manifold structure 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

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.[Steve], 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

Liu, M.Y.[Ming-Yu], Huang, X.[Xun], Yu, J.[Jiahui], Wang, T.C.[Ting-Chun], Mallya, A.[Arun],
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications,
PIEEE(109), No. 5, May 2021, pp. 839-862.
IEEE DOI 2105
Survey, Image Synthesis. Generators, Training, Generative adversarial networks, Linear programming, neural rendering BibRef

Li, Y.S.[Yu-Shi], Baciu, G.[George],
HSGAN: Hierarchical Graph Learning for Point Cloud Generation,
IP(30), 2021, pp. 4540-4554.
IEEE DOI 2105
Shape, Training, Convolution, Solid modeling, Semantics, gradient penalty BibRef

Chen, J.[Jia], Wang, L.[Lizhe], Feng, R.[Ruyi], Liu, P.[Peng], Han, W.[Wei], Chen, X.[Xiaodao],
CycleGAN-STF: Spatiotemporal Fusion via CycleGAN-Based Image Generation,
GeoRS(59), No. 7, July 2021, pp. 5851-5865.
IEEE DOI 2106
Spatiotemporal phenomena, Spatial resolution, Remote sensing, Wavelet transforms, Generative adversarial networks, wavelet transform BibRef

Hu, J.[Jiwei], Deng, W.[Wupeng], Liu, Q.[Quan], Lam, K.M.[Kin-Man], Lou, P.[Ping],
Constructing an efficient and adaptive learning model for 3D object generation,
IET-IPR(15), No. 8, 2021, pp. 1745-1758.
DOI Link 2106
GAN for point cloud synthesis. 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

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

Lee, K.S.[Kwot Sin], Tran, N.T.[Ngoc-Trung], Cheung, N.M.[Ngai-Man],
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning,
WACV21(3941-3951)
IEEE DOI 2106
Training, Image synthesis, Generative adversarial networks, Reproducibility of results, Libraries, Generators, Tuning 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

Fraser, H.[Helmi], Wang, S.[Sen],
DeepBEV: A Conditional Adversarial Network for Bird's Eye View Generation,
ICPR21(5581-5586)
IEEE DOI 2105
Object detection, Cameras, Robustness, Data models, Generators, Sensors, Safety 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

Loppi, N.A.[Niki A.], Kynkäänniemi, T.[Tuomas],
Multi-node Training for StyleGAN2,
CADL20(677-684).
Springer DOI 2103
Tensorflow-based Generative Adversarial Network 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

Yoo, J.[Jaeyoung], Lee, H.[Hojun], Kwak, N.[Nojun],
Unpriortized Autoencoder For Image Generation,
ICIP20(763-767)
IEEE DOI 2011
Image reconstruction, Footwear, Image generation, Estimation, Training, Decoding, Interpolation, Autoencoder, Image Generation, Mixture Model 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

Hamdi, A.[Abdullah], Rojas, S.[Sara], Thabet, A.[Ali], Ghanem, B.[Bernard],
Advpc: Transferable Adversarial Perturbations on 3d Point Clouds,
ECCV20(XII: 241-257).
Springer DOI 2010
BibRef

Cheng, J., Wu, F., Tian, Y., Wang, L., Tao, D.,
RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge,
CVPR20(10908-10917)
IEEE DOI 2008
Birds, Generators, Training, Feature extraction, Task analysis, Generative adversarial networks 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

Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., Aila, T.,
Analyzing and Improving the Image Quality of StyleGAN,
CVPR20(8107-8116)
IEEE DOI 2008
Generators, Training, Image resolution, Modulation, Convolution, Measurement, Standards 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

Sun, W., Wu, T.,
Image Synthesis From Reconfigurable Layout and Style,
ICCV19(10530-10539)
IEEE DOI 2004
Code, Image Synthesis.
WWW Link. genomics, learning (artificial intelligence), LostGAN, reconfigurable layout, fine-grained mask maps, Image resolution 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.[Pingbo], 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

Karras, T.[Tero], Laine, S.[Samuli], Aila, T.[Timo],
A Style-Based Generator Architecture for Generative Adversarial Networks,
CVPR19(4396-4405).
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], 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

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

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, 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 .