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We present a new method for one shot domain adaptation.
Devise: A deep visual-semantic embedding model
Andrea Frome, Greg Corrado, Jonathon Shlens, Samy Bengio, Jeffrey Dean, Marc’Aurelio Ranzato, and Tomas Mikolov · 2013
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Domain separation networks, 2016
Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, and Dumitru Erhan · 2016
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Image style transfer using convolutional neural networks
Leon A Gatys, Alexander S Ecker, and Matthias Bethge · 2016
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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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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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Gan dissection: Visualizing and understanding generative adversarial networks, 2018
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, and Antonio Torralba · 2018
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2018
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The unreasonable effectiveness of deep features as a perceptual metric, 2018
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
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Metagan: An adversarial approach to few-shot learning
Ruixiang ZHANG, Tong Che, Zoubin Ghahramani, Yoshua Bengio, and Yangqiu Song · 2018
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Image2stylegan: How to embed images into the stylegan latent space?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2019
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Seeing what a gan cannot generate
David Bau, Jun-Yan Zhu, Jonas Wulff, William Peebles, Hendrik Strobelt, Bolei Zhou, and Antonio Torralba · 2019
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Emergence of object segmentation in perturbed generative models
Adam Bielski and Paolo Favaro · 2019
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Contrastive adaptation network for unsupervised domain adaptation
Guoliang Kang, Lu Jiang, Yi Yang, and Alexander G. Hauptmann · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
Earlier work this paper cites.
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.
Image2stylegan++: How to edit the embedded images?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2020
Cited alongside, same era.
pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis, 2020
Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein · 2020
Cited alongside, same era.
Editing in style: Uncovering the local semantics of gans, 2020
Edo Collins, Raja Bala, Bob Price, and Sabine Süsstrunk · 2020
Cited alongside, same era.
Ganspace: Discovering interpretable gan controls
Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, and Sylvain Paris · 2020
Cited alongside, same era.
Image-based clip-guided essence transfer
Hila Chefer, Sagie Benaim, Roni Paiss, and Lior Wolf · 2021
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Stylegan-nada: Clip-guided domain adaptation of image generators, 2021
Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, and Daniel Cohen-Or · 2021
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Stylecarigan
Wonjong Jang, Gwangjin Ju, Yucheol Jung, Jiaolong Yang, Xin Tong, and Seungyong Lee · 2021
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Alias-free generative adversarial networks
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2021
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Few-shot image generation via cross-domain correspondence, 2021
Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, and Richard Zhang · 2021
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Do 2d {gan}s know 3d shape? unsupervised 3d shape reconstruction from 2d image {gan}s
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Kai Li, Yulun Zhang, Kunpeng Li, and Yun Fu · 2020
Cited alongside, same era.
Freeze the discriminator: a simple baseline for fine-tuning gans, 2020
Sangwoo Mo, Minsu Cho, and Jinwoo Shin · 2020
Cited alongside, same era.
Fixbi: Bridging domain spaces for unsupervised domain adaptation, 2020
Jaemin Na, Heechul Jung, Hyung Jin Chang, and Wonjun Hwang · 2020
Cited alongside, same era.
Encoding in style: a stylegan encoder for image-to-image translation
Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, and Daniel Cohen-Or · 2020
Cited alongside, same era.
Interfacegan: Interpreting the disentangled face representation learned by gans
Yujun Shen, Ceyuan Yang, Xiaoou Tang, and Bolei Zhou · 2020
Cited alongside, same era.
Michigan: Multi-input-conditioned hair image generation for portrait editing
Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, and Nenghai Yu · 2020
Cited alongside, same era.
Unsupervised domain adaptation via structured prediction based selective pseudo-labeling
Qian Wang and Toby Breckon · 2020
Cited alongside, same era.
Xingang Pan, Bo Dai, Ziwei Liu, Chen Change Loy, and Ping Luo · 2021
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Styleclip: Text-driven manipulation of stylegan imagery, 2021
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski · 2021
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Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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Agilegan: Stylizing portraits by inversion-consistent transfer learning
Guoxian Song, Linjie Luo, Jing Liu, Wan-Chun Ma, Chunpong Lai, Chuanxia Zheng, and Tat-Jen Cham · 2021
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Designing an encoder for stylegan image manipulation
Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, and Daniel Cohen-Or · 2021
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Repurposing gans for one-shot semantic part segmentation, 2021
Nontawat Tritrong, Pitchaporn Rewatbowornwong, and Supasorn Suwajanakorn · 2021
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Datasetgan: Efficient labeled data factory with minimal human effort, 2021
Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, and Sanja Fidler · 2021
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Barbershop: Gan-based image compositing using segmentation masks, 2021
Peihao Zhu, Rameen Abdal, John Femiani, and Peter Wonka · 2021
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