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Many applications of unpaired image-to-image translation require the input contents to be preserved semantically during translations.
A kernel two-sample test
Arthur Gretton, Karsten M Borgwardt, Malte J Rasch, Bernhard Schölkopf, and Alexander Smola · 2012
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Robustness and generalization
Huan Xu and Shie Mannor · 2012
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Norm-based capacity control in neural networks
Behnam Neyshabur, Ryota Tomioka, and Nathan Srebro · 2015
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Domain separation networks
Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, and Dumitru Erhan · 2016
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Coupled generative adversarial networks
Ming-Yu Liu and Oncel Tuzel · 2016
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Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A Efros · 2016
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Generative adversarial text to image synthesis
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee · 2016
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Playing for data: Ground truth from computer games
Stephan R Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun · 2016
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Unsupervised cross-domain image generation
Yaniv Taigman, Adam Polyak, and Lior Wolf · 2016
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Data augmentation generative adversarial networks
Antreas Antoniou, Amos Storkey, and Harrison Edwards · 2017
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Generalization and equilibrium in generative adversarial nets (gans)
Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, and Yi Zhang · 2017
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Spectrally-normalized margin bounds for neural networks
Peter L Bartlett, Dylan J Foster, and Matus J Telgarsky · 2017
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One-sided unsupervised domain mapping
Sagie Benaim and Lior Wolf · 2017
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Unsupervised pixel-level domain adaptation with generative adversarial networks
Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, and Dilip Krishnan · 2017
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Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
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Cyclegan, a master of steganography
Casey Chu, Andrey Zhmoginov, and Mark Sandler · 2017
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Gintare Karolina Dziugaite and Daniel M Roy · 2017
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Badnets: Identifying vulnerabilities in the machine learning model supply chain
Tianyu Gu, Brendan Dolan-Gavitt, and Siddharth Garg · 2017
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Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Multimodal unsupervised image-to-image translation
Xun Huang, Ming-Yu Liu, Serge Belongie, and Jan Kautz · 2018
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Diverse image-to-image translation via disentangled representations
Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Singh, and Ming-Hsuan Yang · 2018
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Unsupervised image-to-image translation with stacked cycle-consistent adversarial networks
Minjun Li, Haozhi Huang, Lin Ma, Wei Liu, Tong Zhang, and Yugang Jiang · 2018
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Unsupervised attention-guided image to image translation
Youssef A Mejjati, Christian Richardt, James Tompkin, Darren Cosker, and Kwang In Kim · 2018
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Representation learning with contrastive predictive coding
Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Learning to discover cross-domain relations with generative adversarial networks
Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, and Jiwon Kim · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
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Generative semantic manipulation with contrasting gan
Xiaodan Liang, Hao Zhang, and Eric P Xing · 2017
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Unsupervised image-to-image translation networks
Ming-Yu Liu, Thomas Breuel, and Jan Kautz · 2017
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Least squares generative adversarial networks
Xudong Mao, Qing Li, Haoran Xie, Raymond YK Lau, Zhen Wang, and Stephen Paul Smolley · 2017
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Learning from simulated and unsupervised images through adversarial training
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, and Russell Webb · 2017
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Deflecting adversarial attacks with pixel deflection
Aaditya Prakash, Nick Moran, Solomon Garber, Antonella DiLillo, and James Storer · 2018
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Defense-gan: Protecting classifiers against adversarial attacks using generative models
Pouya Samangouei, Maya Kabkab, and Rama Chellappa · 2018
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Robustness of conditional gans to noisy labels
Kiran K Thekumparampil, Ashish Khetan, Zinan Lin, and Sewoong Oh · 2018
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Adversarial self-defense for cycle-consistent gans
Dina Bashkirova, Ben Usman, and Kate Saenko · 2019
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Geometry-consistent generative adversarial networks for one-sided unsupervised domain mapping
Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, and Dacheng Tao · 2019
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Information-theoretic local minima characterization and regularization
Zhiwei Jia and Hao Su · 2019
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Predicting the generalization gap in deep networks with margin distributions
Yiding Jiang, Dilip Krishnan, Hossein Mobahi, and Samy Bengio · 2019
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One pixel attack for fooling deep neural networks
Jiawei Su, Danilo Vasconcellos Vargas, and Kouichi Sakurai · 2019
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Adversarial defense by stratified convolutional sparse coding
Bo Sun, Nian-hsuan Tsai, Fangchen Liu, Ronald Yu, and Hao Su · 2019
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Hao Tang, Hong Liu, Dan Xu, Philip HS Torr, and Nicu Sebe · 2019
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Improving generalization and stability of generative adversarial networks
Hoang Thanh-Tung, Truyen Tran, and Svetha Venkatesh · 2019
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Harmonic unpaired image-to-image translation
Rui Zhang, Tomas Pfister, and Jia Li · 2019
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Non-vacuous generalization bounds at the imagenet scale: a PAC-bayesian compression approach
Wenda Zhou, Victor Veitch, Morgane Austern, Ryan P. Adams, and Peter Orbanz · 2019
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One-pixel signature: Characterizing cnn models for backdoor detection
Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, and Zhuowen Tu · 2020
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Contrastive learning for unpaired image-to-image translation
Taesung Park, Alexei A Efros, Richard Zhang, and Jun-Yan Zhu · 2020
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Phase consistent ecological domain adaptation
Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, and Stefano Soatto · 2020
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