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
Yu, B.,
Zhou, L.,
Wang, L.,
Shi, Y.,
Fripp, J.,
Bourgeat, P.,
Ea-GANs: Edge-Aware Generative Adversarial Networks for
Cross-Modality MR Image Synthesis,
MedImg(38), No. 7, July 2019, pp. 1750-1762.
IEEE DOI
1907
Image edge detection, Image generation,
Generative adversarial networks, Generators, Imaging, brain
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
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
Chen, W.,
Hays, J.,
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis,
CVPR18(9416-9425)
IEEE DOI
1812
Image edge detection, Image generation, Training,
Databases, Task analysis, Generative adversarial networks
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
Chen, Y.,
Lai, Y.,
Liu, Y.,
CartoonGAN: Generative Adversarial Networks for Photo Cartoonization,
CVPR18(9465-9474)
IEEE DOI
1812
Training, Generative adversarial networks,
Manifolds, Image edge detection, Automobiles, Training data
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 .