Flow-based Kernel Prior with Application to Blind Super-Resolution

29 March 2021

Christos Sakaridis

Peng Sun

Shuhang Gu

Luc Van Gool

Radu Timofte

SupR

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Papers citing "Flow-based Kernel Prior with Application to Blind Super-Resolution"

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Title
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution Peng Sun Christos Sakaridis Luc Van Gool Radu Timofte 126 595 0 25 Mar 2021
SRFlow: Learning the Super-Resolution Space with Normalizing Flow Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte SupR DRL 90 360 0 25 Jun 2020
Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations Yu-Syuan Xu Shou-Yao Roy Tseng Yu-Wen Tseng Hsien-Kai Kuo Yi-Min Tsai SupR 62 122 0 15 Apr 2020
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation Xingang Pan Xiaohang Zhan Bo Dai Dahua Lin Chen Change Loy Ping Luo DiffM 102 365 0 30 Mar 2020
Deep Unfolding Network for Image Super-Resolution Peng Sun Luc Van Gool Radu Timofte SupR 162 545 0 23 Mar 2020
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution Yong Guo Jian Chen Jingdong Wang Qi Chen Jingyun Liang Zeshuai Deng Yanwu Xu Mingkui Tan SupR 81 282 0 16 Mar 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 242 555 0 08 Mar 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution Jae Woong Soh Sunwoo Cho N. Cho SupR 79 284 0 27 Feb 2020
Blind Super-Resolution Kernel Estimation using an Internal-GAN Sefi Bell-Kligler Assaf Shocher Michal Irani SupR 64 456 0 14 Sep 2019
Neural Blind Deconvolution Using Deep Priors Dongwei Ren Peng Sun Qilong Wang Q. Hu W. Zuo 58 273 0 06 Aug 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming-Yuan Liu Serge J. Belongie Bharath Hariharan 3DPC 101 671 0 28 Jun 2019
Sum-of-Squares Polynomial Flow P. Jaini Kira A. Selby Yaoliang Yu TPM 62 143 0 07 May 2019
Blind Super-Resolution With Iterative Kernel Correction Jinjin Gu Hannan Lu W. Zuo Chao Dong SupR 82 478 0 06 Apr 2019
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors Yossi Gandelsman Assaf Shocher Michal Irani 77 312 0 02 Dec 2018
FloWaveNet : A Generative Flow for Raw Audio Sungwon Kim Sang-gil Lee Jongyoon Song Jaehyeon Kim Sungroh Yoon 72 169 0 06 Nov 2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks Xintao Wang Ke Yu Shixiang Wu Jinjin Gu Yihao Liu Chao Dong Chen Change Loy Yu Qiao Xiaoou Tang 165 3,740 0 01 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 303 3,141 0 09 Jul 2018
Image Super-Resolution Using Very Deep Residual Channel Attention Networks Yulun Zhang Kunpeng Li Kai Li Lichen Wang Bineng Zhong Y. Fu SupR 105 4,333 0 08 Jul 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 151 446 0 03 Apr 2018
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations Peng Sun W. Zuo Lei Zhang SupR 111 913 0 17 Dec 2017
"Zero-Shot" Super-Resolution using Deep Internal Learning Assaf Shocher Nadav Cohen Michal Irani SupR 88 857 0 17 Dec 2017
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 130 3,166 0 29 Nov 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 215 1,360 0 19 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,564 0 31 Mar 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 244 10,712 0 15 Sep 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 150 1,825 0 15 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,719 0 26 May 2016
Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 112 6,198 0 14 Nov 2015
Simple, Accurate, and Robust Nonparametric Blind Super-Resolution W. Shao Michael Elad SupR 64 31 0 11 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 131 2,268 0 30 Oct 2014
Enhancing Sparsity by Reweighted L1 Minimization Emmanuel J. Candes M. Wakin Stephen P. Boyd 217 5,045 0 10 Nov 2007