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The adaptation of a Generative Adversarial Network (GAN) aims to transfer a pre-trained GAN to a target domain with limited training data.
Stochastic neighbor embedding
Geoffrey E. Hinton and Sam T. Roweis · 2002
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Laplacian eigenmaps for dimensionality reduction and data representation
Mikhail Belkin and Partha Niyogi · 2003
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan Conrad Bovik, Hamid R. Sheikh, and Eero P. Simoncelli · 2004
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Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
Mikhail Belkin, Partha Niyogi, and Vikas Sindhwani · 2006
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Towards a theoretical foundation for laplacian-based manifold methods
Mikhail Belkin and Partha Niyogi · 2008
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Visualizing data using t-sne
Laurens van der Maaten and Geoffrey E. Hinton · 2008
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Face photo-sketch synthesis and recognition
Amit R.Sharma and Prakash.R.Devale Prakash.R.Devale · 2012
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Sliced and radon wasserstein barycenters of measures
Nicolas Bonneel, Julien Rabin, Gabriel Peyré, and Hanspeter Pfister · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and Andrew Zisserman · 2015
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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
Fisher Yu, Ari Seff, Yinda Zhang, Shuran Song, Thomas Funkhouser, and Jianxiong Xiao · 2015
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How far are we from solving the 2d & 3d face alignment problem? (and a dataset of 230,000 3d facial landmarks)
Adrian Bulat and Georgios Tzimiropoulos · 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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Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
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Scene parsing through ade20k dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2017
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Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
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Transferring gans: generating images from limited data
Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, and Bogdan Raducanu · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 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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Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
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Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, J. Guo, and Stefanos Zafeiriou · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Image generation from small datasets via batch statistics adaptation
Atsuhiro Noguchi and Tatsuya Harada · 2019
Cited alongside, same era.
Singan: Learning a generative model from a single natural image
Tamar Rott Shaham, Tali Dekel, and T. Michaeli · 2019
Cited alongside, same era.
Ingan: Capturing and retargeting the “dna” of a natural image
Assaf Shocher, S. Bagon, Phillip Isola, and M. Irani · 2019
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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Smoothing the generative latent space with mixup-based distance learning
Chaerin Kong, Jeesoo Kim, Dong Yan Han, and Nojun Kwak · 2021
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Clipstyler: Image style transfer with a single text condition
Gihyun Kwon and Jong-Chul Ye · 2021
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C: Contrastive learning for cross-domain correspondence in few-shot image generation
Hyuk-Gi Lee, Gi-Cheon Kang, Changhoon Jeong, Han-Wool Sul, and Byoung-Tak Zhang · 2021
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Blendgan: Implicitly gan blending for arbitrary stylized face generation
Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, and Wen Zheng · 2021
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Cited alongside, same era.
Stargan v2: Diverse image synthesis for multiple domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2020
Cited alongside, same era.
Training generative adversarial networks with limited data
Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, and Timo Aila · 2020
Cited alongside, same era.
Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
Cited alongside, same era.
Few-shot image generation with elastic weight consolidation
Yijun Li, Richard Zhang, Jingwan Lu, and E. Shechtman · 2020
Cited alongside, same era.
A new dataset and boundary-attention semantic segmentation for face parsing
Yinglu Liu, Hailin Shi, Hao Shen, Yue Si, Xiaobo Wang, and Tao Mei · 2020
Cited alongside, same era.
Freeze discriminator: A simple baseline for fine-tuning gans
Sangwoo Mo, Minsu Cho, and Jinwoo Shin · 2020
Cited alongside, same era.
Few-shot image generation via cross-domain correspondence
Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, and Richard Zhang · 2021
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Styleclip: Text-driven manipulation of stylegan imagery
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and D. Lischinski · 2021
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Learning transferable visual models from natural language supervision
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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Designing an encoder for stylegan image manipulation
Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, and Daniel Cohen-Or · 2021
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Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, and Ming-Hsuan Yang · 2021
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One-shot generative domain adaptation
Ceyuan Yang, Yujun Shen, Zhiyi Zhang, Yinghao Xu, Jiapeng Zhu, Zhirong Wu, and Bolei Zhou · 2021
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Exsingan: Learning an explainable generative model from a single image
Zicheng Zhang, Congying Han, and Tiande Guo · 2021
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Peihao Zhu, Rameen Abdal, John C. Femiani, and Peter Wonka · 2021
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One-shot adaptation of gan in just one clip
Gihyun Kwon and Jong-Chul Ye · 2022
Closest in time.
Self-distilled stylegan: Towards generation from internet photos
Ron Mokady, Michal Yarom, Omer Tov, Oran Lang, Daniel Cohen-Or, Tali Dekel, Michal Irani, and Inbar Mosseri · 2022
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Ctlgan: Few-shot artistic portraits generation with contrastive transfer learning
Yue Wang, Ran Yi, Ying Tai, Chengjie Wang, and Lizhuang Ma · 2022
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Few shot generative model adaption via relaxed spatial structural alignment
Jiayu Xiao, Liang Li, Chaofei Wang, Zhengjun Zha, and Qingming Huang · 2022
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Petsgan: Rethinking priors for single image generation
Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, and Bo Zhou · 2022
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