Correlation functions and computer simulations
Giorgio Parisi · 1981
Earlier work this paper cites.
Representations of knowledge in complex systems
Ulf Grenander and Michael I Miller · 1994
Earlier work this paper cites.
Kodak lossless true color image suite
Rich Franzen · 1999
Earlier work this paper cites.
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
David Martin, Charless Fowlkes, Doron Tal, and Jitendra Malik · 2001
Earlier work this paper cites.
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
David Martin, Charless Fowlkes, Doron Tal, and Jitendra Malik · 2001
Earlier work this paper cites.
Multiscale structural similarity for image quality assessment
Zhou Wang, Eero P Simoncelli, and Alan C Bovik · 2003
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
Earlier work this paper cites.
Estimation of non-normalized statistical models by score matching
Aapo Hyvärinen and Peter Dayan · 2005
Earlier work this paper cites.
The usc-sipi image database: Version 5
Allan G Weber · 2006
Earlier work this paper cites.
Image denoising by sparse 3-d transform-domain collaborative filtering
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2007
Earlier work this paper cites.
Some extensions of score matching
Aapo Hyvärinen · 2007
Earlier work this paper cites.
Learning multiscale sparse representations for image and video restoration
Julien Mairal, Guillermo Sapiro, and Michael Elad · 2008
Earlier work this paper cites.
Partially collapsed gibbs samplers: Theory and methods
David A Van Dyk and Taeyoung Park · 2008
Earlier work this paper cites.
Labeled faces in the wild: A database forstudying face recognition in unconstrained environments
Gary B Huang, Marwan Mattar, Tamara Berg, and Eric Learned-Miller · 2008
Earlier work this paper cites.
Variational bayesian image restoration with a product of spatially weighted total variation image priors
Giannis Chantas, Nikolaos P Galatsanos, Rafael Molina, and Aggelos K Katsaggelos · 2009
Earlier work this paper cites.
Variational bayesian sparse kernel-based blind image deconvolution with student’s-t priors
Dimitris G Tzikas, Aristidis C Likas, and Nikolaos P Galatsanos · 2009
Earlier work this paper cites.
Image inpainting by patch propagation using patch sparsity
Zongben Xu and Jian Sun · 2010
Earlier work this paper cites.
Color demosaicking by local directional interpolation and nonlocal adaptive thresholding
Lei Zhang, Xiaolin Wu, Antoni Buades, and Xin Li · 2011
Earlier work this paper cites.
Image denoising and inpainting with deep neural networks
Junyuan Xie, Linli Xu, and Enhong Chen · 2012
Earlier work this paper cites.
Low-complexity single-image super-resolution based on nonnegative neighbor embedding
Marco Bevilacqua, Aline Roumy, Christine Guillemot, and Marie Line Alberi-Morel · 2012
Earlier work this paper cites.
On single image scale-up using sparse-representations
Roman Zeyde, Michael Elad, and Matan Protter · 2012
Earlier work this paper cites.
Making a “completely blind” image quality analyzer
Anish Mittal, Rajiv Soundararajan, and Alan C Bovik · 2012
Earlier work this paper cites.
Auto-encoding variational bayes
Original
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Parametric blur estimation for blind restoration of natural images: Linear motion and out-of-focus
Joao P Oliveira, Mario AT Figueiredo, and Jose M Bioucas-Dias · 2013
Earlier work this paper cites.
Contrast enhancement based on layered difference representation of 2d histograms
Chulwoo Lee, Chul Lee, and Chang-Su Kim · 2013
Earlier work this paper cites.
Naturalness preserved enhancement algorithm for non-uniform illumination images
Shuhang Wang, Jin Zheng, Hai-Miao Hu, and Bo Li · 2013
Earlier work this paper cites.
Learning a deep convolutional network for image super-resolution
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang · 2014
Earlier work this paper cites.
Shrinkage fields for effective image restoration
Uwe Schmidt and Stefan Roth · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Original
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
Nice: Non-linear independent components estimation
Original
Laurent Dinh, David Krueger, and Yoshua Bengio · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Original
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
Compression artifacts reduction by a deep convolutional network
Chao Dong, Yubin Deng, Chen Change Loy, and Xiaoou Tang · 2015
Earlier work this paper cites.
Variational inference with normalizing flows
Danilo Rezende and Shakir Mohamed · 2015
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
Earlier work this paper cites.
Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
Earlier work this paper cites.
Single image super-resolution from transformed self-exemplars
Jia-Bin Huang, Abhishek Singh, and Narendra Ahuja · 2015
Earlier work this paper cites.
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
Earlier work this paper cites.
Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
Earlier work this paper cites.
Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
Original
Fisher Yu, Ari Seff, Yinda Zhang, Shuran Song, Thomas Funkhouser, and Jianxiong Xiao · 2015
Earlier work this paper cites.
Large-scale scene understanding challenge: Room layout estimation
Yinda Zhang, Fisher Yu, Shuran Song, Pingmei Xu, Ari Seff, and Jianxiong Xiao · 2015
Earlier work this paper cites.
Recognize complex events from static images by fusing deep channels
Yuanjun Xiong, Kai Zhu, Dahua Lin, and Xiaoou Tang · 2015
Earlier work this paper cites.
Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A Efros · 2016
Earlier work this paper cites.
Compression artifacts removal using convolutional neural networks
Original
Pavel Svoboda, Michal Hradis, David Barina, and Pavel Zemcik · 2016
Earlier work this paper cites.
Pixel recurrent neural networks
Aäron Van Den Oord, Nal Kalchbrenner, and Koray Kavukcuoglu · 2016
Earlier work this paper cites.
Generating images with perceptual similarity metrics based on deep networks
Alexey Dosovitskiy and Thomas Brox · 2016
Earlier work this paper cites.
Ultra-resolving face images by discriminative generative networks
Xin Yu and Fatih Porikli · 2016
Earlier work this paper cites.
Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
Earlier work this paper cites.
Density estimation using real nvp
Original
Laurent Dinh, Jascha Sohl-Dickstein, and Samy Bengio · 2016
Earlier work this paper cites.
Accurate image super-resolution using very deep convolutional networks
Jiwon Kim, Jung Kwon Lee, and Kyoung Mu Lee · 2016
Earlier work this paper cites.
Enhanced deep residual networks for single image super-resolution
Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee · 2017
Earlier work this paper cites.
Deep multi-scale convolutional neural network for dynamic scene deblurring
Seungjun Nah, Tae Hyun Kim, and Kyoung Mu Lee · 2017
Earlier work this paper cites.
Blur-invariant deep learning for blind-deblurring
Thekke Madam Nimisha, Akash Kumar Singh, and Ambasamudram N Rajagopalan · 2017
Earlier work this paper cites.
Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
Earlier work this paper cites.
Ntire 2017 challenge on single image super-resolution: Dataset and study
Eirikur Agustsson and Radu Timofte · 2017
Earlier work this paper cites.
Deep joint rain detection and removal from a single image
Wenhan Yang, Robby T Tan, Jiashi Feng, Jiaying Liu, Zongming Guo, and Shuicheng Yan · 2017
Earlier work this paper cites.
Deep multi-scale convolutional neural network for dynamic scene deblurring
Seungjun Nah, Tae Hyun Kim, and Kyoung Mu Lee · 2017
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Pixelcnn++: Improving the pixelcnn with discretized logistic mixture likelihood and other modifications
Original
Tim Salimans, Andrej Karpathy, Xi Chen, and Diederik P Kingma · 2017
Earlier work this paper cites.
Masked autoregressive flow for density estimation
George Papamakarios, Theo Pavlakou, and Iain Murray · 2017
Earlier work this paper cites.
Progressive growing of gans for improved quality, stability, and variation
Original
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
Earlier work this paper cites.
Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
Earlier work this paper cites.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Earlier work this paper cites.
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
Earlier work this paper cites.
Enhanced deep residual networks for single image super-resolution
Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee · 2017
Earlier work this paper cites.
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
Earlier work this paper cites.
Progressive growing of gans for improved quality, stability, and variation
Original
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
Earlier work this paper cites.
Began: Boundary equilibrium generative adversarial networks
Original
David Berthelot, Thomas Schumm, and Luke Metz · 2017
Earlier work this paper cites.
Perceptual generative adversarial networks for small object detection
Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, and Shuicheng Yan · 2017
Earlier work this paper cites.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
Earlier work this paper cites.
Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
Earlier work this paper cites.
Sketch-based manga retrieval using manga109 dataset
Yusuke Matsui, Kota Ito, Yuji Aramaki, Azuma Fujimoto, Toru Ogawa, Toshihiko Yamasaki, and Kiyoharu Aizawa · 2017
Earlier work this paper cites.
Deshadownet: A multi-context embedding deep network for shadow removal
Liangqiong Qu, Jiandong Tian, Shengfeng He, Yandong Tang, and Rynson WH Lau · 2017
Earlier work this paper cites.
Removing rain from single images via a deep detail network
Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, and John Paisley · 2017
Earlier work this paper cites.
Places: A 10 million image database for scene recognition
Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba · 2017
Earlier work this paper cites.
Removing rain from single images via a deep detail network
Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, and John Paisley · 2017
Earlier work this paper cites.
Learning a no-reference quality metric for single-image super-resolution
Chao Ma, Chih-Yuan Yang, Xiaokang Yang, and Ming-Hsuan Yang · 2017
Earlier work this paper cites.
Esrgan: Enhanced super-resolution generative adversarial networks
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, and Chen Change Loy · 2018
Earlier work this paper cites.
Deblurgan: Blind motion deblurring using conditional adversarial networks
Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, and Jiří Matas · 2018
Earlier work this paper cites.
Attentive generative adversarial network for raindrop removal from a single image
Rui Qian, Robby T Tan, Wenhan Yang, Jiajun Su, and Jiaying Liu · 2018
Earlier work this paper cites.
Density-aware single image de-raining using a multi-stream dense network
He Zhang and Vishal M Patel · 2018
Earlier work this paper cites.
Generative adversarial networks: An overview
Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, and Anil A Bharath · 2018
Earlier work this paper cites.
A fully progressive approach to single-image super-resolution
Yifan Wang, Federico Perazzi, Brian McWilliams, Alexander Sorkine-Hornung, Olga Sorkine-Hornung, and Christopher Schroers · 2018
Earlier work this paper cites.
Unsupervised image super-resolution using cycle-in-cycle generative adversarial networks
Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, and Liang Lin · 2018
Earlier work this paper cites.
Image super-resolution using very deep residual channel attention networks
Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, and Yun Fu · 2018
Earlier work this paper cites.
Non-blind deblurring: Handling kernel uncertainty with cnns
Subeesh Vasu, Venkatesh Reddy Maligireddy, and AN Rajagopalan · 2018
Earlier work this paper cites.
Combogan: Unrestrained scalability for image domain translation
Asha Anoosheh, Eirikur Agustsson, Radu Timofte, and Luc Van Gool · 2018
Earlier work this paper cites.
A survey of domain adaptation for neural machine translation
Original
Chenhui Chu and Rui Wang · 2018
Earlier work this paper cites.
Deep retinex decomposition for low-light enhancement
Original
Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu · 2018
Earlier work this paper cites.
On the evaluation of illumination compensation algorithms
Vassilios Vonikakis, Rigas Kouskouridas, and Antonios Gasteratos · 2018
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Earlier work this paper cites.
Learning to generalize: Meta-learning for domain generalization
Da Li, Yongxin Yang, Yi-Zhe Song, and Timothy Hospedales · 2018
Earlier work this paper cites.
Deep domain generalization via conditional invariant adversarial networks
Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, and Dacheng Tao · 2018
Earlier work this paper cites.
Neural ordinary differential equations
Ricky TQ Chen, Yulia Rubanova, Jesse Bettencourt, and David K Duvenaud · 2018
Earlier work this paper cites.
Ffjord: Free-form continuous dynamics for scalable reversible generative models
Original
Will Grathwohl, Ricky TQ Chen, Jesse Bettencourt, Ilya Sutskever, and David Duvenaud · 2018
Earlier work this paper cites.
Sod-mtgan: Small object detection via multi-task generative adversarial network
Yancheng Bai, Yongqiang Zhang, Mingli Ding, and Bernard Ghanem · 2018
Earlier work this paper cites.
Recovering realistic texture in image super-resolution by deep spatial feature transform
Xintao Wang, Ke Yu, Chao Dong, and Chen Change Loy · 2018
Earlier work this paper cites.
Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal
Jifeng Wang, Xiang Li, and Jian Yang · 2018
Earlier work this paper cites.
Collaborative large-scale dense 3d reconstruction with online inter-agent pose optimisation
Stuart Golodetz, Tommaso Cavallari, Nicholas A Lord, Victor A Prisacariu, David W Murray, and Philip HS Torr · 2018
Earlier work this paper cites.
Desnownet: Context-aware deep network for snow removal
Yun-Fu Liu, Da-Wei Jaw, Shih-Chia Huang, and Jenq-Neng Hwang · 2018
Earlier work this paper cites.
fastmri: An open dataset and benchmarks for accelerated mri
Original
Jure Zbontar, Florian Knoll, Anuroop Sriram, Tullie Murrell, Zhengnan Huang, Matthew J Muckley, Aaron Defazio, Ruben Stern, Patricia Johnson, Mary Bruno, et al · 2018
Earlier work this paper cites.
Demystifying mmd gans
Original
Mikołaj Bińkowski, Danica J Sutherland, Michael Arbel, and Arthur Gretton · 2018
Earlier work this paper cites.
The 2018 pirm challenge on perceptual image super-resolution
Yochai Blau, Roey Mechrez, Radu Timofte, Tomer Michaeli, and Lihi Zelnik-Manor · 2018
Earlier work this paper cites.
A note on the inception score
Original
Shane Barratt and Rishi Sharma · 2018
Earlier work this paper cites.
Second-order attention network for single image super-resolution
Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, and Lei Zhang · 2019
Earlier work this paper cites.
Image de-raining using a conditional generative adversarial network
He Zhang, Vishwanath Sindagi, and Vishal M Patel · 2019
Earlier work this paper cites.
Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study
Seungjun Nah, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Radu Timofte, and Kyoung Mu Lee · 2019
Earlier work this paper cites.
Ranksrgan: Generative adversarial networks with ranker for image super-resolution
Wenlong Zhang, Yihao Liu, Chao Dong, and Yu Qiao · 2019
Earlier work this paper cites.
Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
Earlier work this paper cites.
A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
Earlier work this paper cites.
Unsupervised learning for real-world super-resolution
Andreas Lugmayr, Martin Danelljan, and Radu Timofte · 2019
Earlier work this paper cites.
Learning to transfer: Unsupervised meta domain translation
Original
Jianxin Lin, Yijun Wang, Tianyu He, and Zhibo Chen · 2019
Earlier work this paper cites.
Unsupervised learning for real-world super-resolution
Andreas Lugmayr, Martin Danelljan, and Radu Timofte · 2019
Earlier work this paper cites.
Toward real-world single image super-resolution: A new benchmark and a new model
Jianrui Cai, Hui Zeng, Hongwei Yong, Zisheng Cao, and Lei Zhang · 2019
Earlier work this paper cites.
Multi-adversarial discriminative deep domain generalization for face presentation attack detection
Rui Shao, Xiangyuan Lan, Jiawei Li, and Pong C. Yuen · 2019
Earlier work this paper cites.
Generalizing to unseen domains via distribution matching
Original
Isabela Albuquerque, João Monteiro, Mohammad Darvishi, Tiago H Falk, and Ioannis Mitliagkas · 2019
Earlier work this paper cites.
Flow++: Improving flow-based generative models with variational dequantization and architecture design
Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, and Pieter Abbeel · 2019
Earlier work this paper cites.
A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
Earlier work this paper cites.
Self-attention generative adversarial networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas, and Augustus Odena · 2019
Earlier work this paper cites.
U-gat-it: Unsupervised generative attentional networks with adaptive layer-instance normalization for image-to-image translation
Original
Junho Kim, Minjae Kim, Hyeonwoo Kang, and Kwanghee Lee · 2019
Earlier work this paper cites.
Videobert: A joint model for video and language representation learning
Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, and Cordelia Schmid · 2019
Earlier work this paper cites.
Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks
Jiasen Lu, Dhruv Batra, Devi Parikh, and Stefan Lee · 2019
Earlier work this paper cites.
Learning video representations using contrastive bidirectional transformer
Original
Chen Sun, Fabien Baradel, Kevin Murphy, and Cordelia Schmid · 2019
Earlier work this paper cites.
Flickr1024: A large-scale dataset for stereo image super-resolution
Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, and Yulan Guo · 2019
Earlier work this paper cites.
Human-aware motion deblurring
Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, and Ling Shao · 2019
Earlier work this paper cites.
Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images
Codruta O Ancuti, Cosmin Ancuti, Mateu Sbert, and Radu Timofte · 2019
Earlier work this paper cites.
Benchmarking single-image dehazing and beyond
Boyi Li, Wenqi Ren, Dengpan Fu, Dacheng Tao, Dan Feng, Wenjun Zeng, and Zhangyang Wang · 2019
Earlier work this paper cites.
Heavy rain image restoration: Integrating physics model and conditional adversarial learning
Ruoteng Li, Loong-Fah Cheong, and Robby T Tan · 2019
Earlier work this paper cites.
Spatial attentive single-image deraining with a high quality real rain dataset
Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, and Rynson WH Lau · 2019
Earlier work this paper cites.
Div8k: Diverse 8k resolution image dataset
Shuhang Gu, Andreas Lugmayr, Martin Danelljan, Manuel Fritsche, Julien Lamour, and Radu Timofte · 2019
Earlier work this paper cites.
Shadow removal via shadow image decomposition
Hieu Le and Dimitris Samaras · 2019
Earlier work this paper cites.
Deep graph-convolutional image denoising
Diego Valsesia, Giulia Fracastoro, and Enrico Magli · 2020
Earlier work this paper cites.
Uctgan: Diverse image inpainting based on unsupervised cross-space translation
Lei Zhao, Qihang Mo, Sihuan Lin, Zhizhong Wang, Zhiwen Zuo, Haibo Chen, Wei Xing, and Dongming Lu · 2020
Earlier work this paper cites.
Quantization guided jpeg artifact correction
Max Ehrlich, Larry Davis, Ser-Nam Lim, and Abhinav Shrivastava · 2020
Earlier work this paper cites.
A u-net based discriminator for generative adversarial networks
Edgar Schonfeld, Bernt Schiele, and Anna Khoreva · 2020
Earlier work this paper cites.
Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Score-based generative modeling through stochastic differential equations
Original
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2020
Earlier work this paper cites.
Denoising diffusion implicit models
Original
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
Earlier work this paper cites.
Transformation gan for unsupervised image synthesis and representation learning
Jiayu Wang, Wengang Zhou, Guo-Jun Qi, Zhongqian Fu, Qi Tian, and Houqiang Li · 2020
Earlier work this paper cites.
Joint blur kernel estimation and cnn for blind image restoration
Liqing Huang and Youshen Xia · 2020
Earlier work this paper cites.
Component divide-and-conquer for real-world image super-resolution
Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, and Liang Lin · 2020
Earlier work this paper cites.
An image is worth 16x16 words: Transformers for image recognition at scale
Original
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Earlier work this paper cites.