Image to Image Translation for Domain Adaptation..
Zak Murez, Soheil Kolouri, David Kriegman, Ravi Ramamoorthi, Kyungnam Kim..
CVPR 2018. [PDF]
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation.
Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo.
CVPR 2018. [Github] [PDF]
UNIT: Unsupervised Image-to-Image Translation Networks.
Ming-Yu Liu, Thomas Breuel, Jan Kautz.
NeurIPS 2017. [PDF] [Github]
Fader Networks: Manipulating Images by Sliding Attributes.
Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato.
NeurIPS 2017. [Github] [PDF]
DTN: Unsupervised Cross-Domain Image Generation.
Yaniv Taigman, Adam Polyak, Lior Wolf.
ICLR 2017. [PDF] [Github]
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data.
Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He.
BMVC 2017. [Github] [PDF]
Face-Age-cGAN: Face Aging With Conditional Generative Adversarial Networks.
Grigory Antipov, Moez Baccouche, Jean-Luc Dugelay.
ICIP 2017. [PDF]
DiscoGAN: Learning to Discover Cross-Domain Relations with Generative Adversarial Networks.
Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim.
ICML 2017. [Github] [PDF]
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation.
Zili Yi, Hao Zhang, Ping Tan, Minglun Gong.
ICCV 2017. [Github] [PDF]
CycleGAN: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks.
Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros.
ICCV 2017. [Project] [Github] [pytorch-CycleGAN-and-pix2pix] [PDF]
BicycleGAN: Toward Multimodal Image-to-Image Translation.
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman.
NeurIPS 2017. [PDF] [Project] [Github] [TensorFlow]
pix2pix: Image-to-Image Translation with Conditional Adversarial Networks.
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros.
CVPR 2017. [Project] [Github] [PDF]
IcGAN: Invertible Conditional GANs for Image Editing.
Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, Jose M. Álvarez.
NeurIPS 2016 Workshop on Adversarial Training. [Github] [PDF]