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State-of-the-art image-to-image translation methods tend to struggle in an imbalanced domain setting, where one image domain lacks richness and diversity.
ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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3d object representations for fine-grained categorization
Jonathan Krause, Michael Stark, Jia Deng, and Li Fei-Fei · 2013
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Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Improved deep metric learning with multi-class n-pair loss objective
Kihyuk Sohn · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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J. H. Lim and J. C. Ye · 2017
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Unsupervised image-to-image translation networks
Ming-Yu Liu, Thomas Breuel, and Jan Kautz · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Multimodal unsupervised image-to-image translation
Xun Huang, Ming-Yu Liu, Serge Belongie, and Jan Kautz · 2018
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Which training methods for gans do actually converge?
Lars M. Mescheder, Andreas Geiger, and Sebastian Nowozin · 2018
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Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 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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Unsupervised feature learning via non-parametric instance discrimination
Zhirong Wu, Yuanjun Xiong, X Yu Stella, and Dahua Lin · 2018
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Large scale GAN training for high fidelity natural image synthesis
A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Stargan v2: Diverse image synthesis for multiple domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2020
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Cross-domain cascaded deep feature translation
Oren Katzir, Dani Lischinski, and Daniel Cohen-Or · 2020
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U-GAT-IT: Unsupervised generative attentional networks with adaptive layer-instance normalization for image-to-image translation
Junho Kim, Minjae Kim, Hyeonwoo Kang, and Kwang Hee Lee · 2020
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Ganhopper: Multi-hop gan for unsupervised image-to-image translation, 2020
Wallace Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, and Hao Zhang · 2020
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Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
Cited alongside, same era.
Self-supervised gans via auxiliary rotation loss
Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, and Neil Houlsby · 2019
Cited alongside, same era.
Drit++: Diverse image-to-image translation viadisentangled representations
Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao, Jia-Bin Huang, Yu-Ding Lu, Maneesh Kumar Singh, and Ming-Hsuan Yang · 2019
Cited alongside, same era.
Few-shot unsupervised image-to-image translation
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, and Jan Kautz · 2019
Cited alongside, same era.
Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, and Antonio Torralba · 2020
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Breaking the cycle-colleagues are all you need
Ori Nizan and Ayellet Tal · 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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Unsupervised k-modal styled content generation
Omry Sendik, Dani Lischinski, and Daniel Cohen-Or · 2020
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