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Generative Adversarial Networks (GANs) have achieved state-of-the-art performance for several image generation and manipulation tasks.
Image2StyleGAN++: How to Edit the Embedded Images?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 1911
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A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
D. Martin, C. Fowlkes, D. Tal, and J. Malik · 2001
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Adversarial Latent Autoencoders
Stanislav Pidhorskyi, Donald Adjeroh, and Gianfranco Doretto · 2004
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli · 2004
Earlier work this paper cites.
Plug-and-Play Image Restoration with Deep Denoiser Prior
Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, and Radu Timofte · 2008
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ImageNet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L. Li, Kai Li, and Li Fei-Fei · 2009
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Natural Image Denoising with Convolutional Networks
Viren Jain and Sebastian Seung · 2009
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Fields of Experts
Stefan Roth and Michael J. Black · 2009
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Image Denoising and Inpainting with Deep Neural Networks
Junyuan Xie, Linli Xu, and Enhong Chen · 2012
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Rectifier nonlinearities improve neural network acoustic models
Andrew L Maas, Awni Y Hannun, and Andrew Y Ng · 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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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2014
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Fisher Yu, Yinda Zhang, Shuran Song, Ari Seff, and Jianxiong Xiao · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros · 2016
Cited alongside, same era.
Invertible Conditional Gans for Image Editing
Guim Perarnau, Joost Van De Weijer, Bogdan Raducanu, and Jose M Álvarez · 2016
Cited alongside, same era.
Improved Techniques for Training GANs
Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
Cited alongside, same era.
Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A Efros · 2016
Cited alongside, same era.
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
Later among the works it cites.
FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising
Kai Zhang, Wangmeng Zuo, and Lei Zhang · 2018
Later among the works it cites.
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
Later among the works it cites.
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2019
Later among the works it cites.
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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Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
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Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
Yunjin Chen and Thomas Pock · 2017
Cited alongside, same era.
Arbitrary Style Transfer in Real-Time With Adaptive Instance Normalization
Xun Huang and Serge Belongie · 2017
Cited alongside, same era.
SGDR: stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2017
Cited alongside, same era.
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
Cited alongside, same era.
Learning Deep CNN Denoiser Prior for Image Restoration
Kai Zhang, Wangmeng Zuo, Shuhang Gu, and Lei Zhang · 2017
Cited alongside, same era.
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
Cited alongside, same era.
Inverting the Generator of a Generative Adversarial Network
Antonia Creswell and Anil Anthony Bharath · 2018
Cited alongside, same era.
Later among the works it cites.
Brief review of image denoising techniques
Linwei Fan, Fan Zhang, Hui Fan, and Caiming Zhang · 2019
Later among the works it cites.
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
Later among the works it cites.
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
Later among the works it cites.
SinGAN: Learning a Generative Model From a Single Natural Image
Tamar Rott Shaham, Tali Dekel, and Tomer Michaeli · 2019
Later among the works it cites.
Towards Instance-Level Image-To-Image Translation
Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, and Thomas S. Huang · 2019
Later among the works it cites.
Image denoising review: From classical to state-of-the-art approaches
Bhawna Goyal, Ayush Dogra, Sunil Agrawal, B. S. Sohi, and Apoorav Sharma · 2020
Closest in time.
Collaborative Learning for Faster StyleGAN Embedding
Shanyan Guan, Ying Tai, Bingbing Ni, Feida Zhu, Feiyue Huang, and Xiaokang Yang · 2020
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Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
Closest in time.
In-domain Gan Inversion for Real Image Editing
Jiapeng Zhu, Yujun Shen, Deli Zhao, and Bolei Zhou · 2020
Closest in time.