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Generating images from a single sample, as a newly developing branch of image synthesis, has attracted extensive attention.
A sensorimotor account of vision and visual consciousness
J. O’Regan and A. Noë · 2001
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, A. Bovik, H. Sheikh, and Eero P. Simoncelli · 2004
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Patchmatch: a randomized correspondence algorithm for structural image editing
Connelly Barnes, E. Shechtman, A. Finkelstein, and Dan B. Goldman · 2009
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 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
Earlier work this paper cites.
Learning deep features for scene recognition using places database
Bolei Zhou, Agata Lapedriza, Jianxiong Xiao, Antonio Torralba, and Aude Oliva · 2014
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Deep generative image models using a laplacian pyramid of adversarial networks
Emily L. Denton, Soumith Chintala, Arthur D. Szlam, and R. Fergus · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and Andrew Zisserman · 2015
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Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 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
Earlier work this paper cites.
Neural photo editing with introspective adversarial networks
Andrew Brock, Theodore Lim, James M Ritchie, and Nick Weston · 2016
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Jeff Donahue, Philipp Krähenbühl, and Trevor Darrell · 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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Accurate image super-resolution using very deep convolutional networks
Jiwon Kim, Jung Kwon Lee, and Kyoung Mu Lee · 2016
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Generative visual manipulation on the natural image manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A Efros · 2016
Cited alongside, same era.
Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
Cited alongside, same era.
Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
Cited alongside, same era.
Precise recovery of latent vectors from generative adversarial networks
Zachary C Lipton and Subarna Tripathi · 2017
Cited alongside, same era.
Enhancenet: Single image super-resolution through automated texture synthesis
Mehdi S. M. Sajjadi, B. Schölkopf, and M. Hirsch · 2017
Cited alongside, same era.
Singan: Learning a generative model from a single natural image
Tamar Rott Shaham, Tali Dekel, and T. Michaeli · 2019
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Ingan: Capturing and retargeting the “dna” of a natural image
Assaf Shocher, S. Bagon, Phillip Isola, and M. Irani · 2019
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Semantic photo manipulation with a generative image prior
David Bau, Hendrik Strobelt, William Peebles, Bolei Zhou, Jun-Yan Zhu, Antonio Torralba, et al · 2020
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Generator pyramid for high-resolution image inpainting
Leilei Cao, Tong Yang, Yixu Wang, Bo Yan, and Yandong Guo · 2020
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Hierarchical patch vae-gan: Generating diverse videos from a single sample
Shir Gur, Sagie Benaim, and L. Wolf · 2020
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Semantic image inpainting with deep generative models
Raymond A Yeh, Chen Chen, Teck Yian Lim, Alexander G Schwing, Mark Hasegawa-Johnson, and Minh N Do · 2017
Cited alongside, same era.
Inverting the generator of a generative adversarial network
Antonia Creswell and Anil Anthony Bharath · 2018
Cited alongside, same era.
Solving linear inverse problems using gan priors: An algorithm with provable guarantees
Viraj Shah and Chinmay Hegde · 2018
Cited alongside, same era.
Deep image prior
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2018
Cited alongside, same era.
Non-stationary texture synthesis by adversarial expansion
Yang Zhou, Zhen Zhu, Xiang Bai, Dani Lischinski, Daniel Cohen-Or, and Hui Huang · 2018
Cited alongside, same era.
Gan dissection: Visualizing and understanding generative adversarial networks
David Bau, Jun-Yan Zhu, Hendrik Strobelt, B. Zhou, J. Tenenbaum, W. Freeman, and A. Torralba · 2019
Cited alongside, same era.
Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
Cited alongside, same era.
Later among the works it cites.
Exploiting deep generative prior for versatile image restoration and manipulation
Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, and Ping Luo · 2020
Later among the works it cites.
Positional encoding as spatial inductive bias in gans
Rui Xu, Xintao Wang, Kai Chen, B. Zhou, and Chen Change Loy · 2020
Later among the works it cites.
Structural analogy from a single image pair
Sagie Benaim, Ron Mokady, Amit H. Bermano, D. Cohen-Or, and L. Wolf · 2021
Closest in time.
Mogan: Morphologic-structure-aware generative learning from a single image
J. Chen, Qihui Xu, Qi Kang, and M. Zhou · 2021
Closest in time.
Drop the gan: In defense of patches nearest neighbors as single image generative models
Niv Granot, Assaf Shocher, Ben Feinstein, S. Bagon, and M. Irani · 2021
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Improved techniques for training single-image gans
Tobias Hinz, Matthew Fisher, Oliver Wang, and Stefan Wermter · 2021
Closest in time.
Diverse single image generation with controllable global structure through self-attention
Sutharsan Mahendren, C. Edussooriya, and R. Rodrigo · 2021
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One-shot gan: Learning to generate samples from single images and videos
V. Sushko, Juergen Gall, and A. Khoreva · 2021
Closest in time.
Imagine: Image synthesis by image-guided model inversion
Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, and N. Vasconcelos · 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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