Blind Super-Resolution Kernel Estimation using an Internal-GAN

14 September 2019

Papers citing "Blind Super-Resolution Kernel Estimation using an Internal-GAN"

22 / 72 papers shown

Title
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Xintao Wang Liangbin Xie Chao Dong Ying Shan 41 1,106 0 22 Jul 2021
Blind Image Super-Resolution: A Survey and Beyond Anran Liu Yihao Liu Jinjin Gu Yu Qiao Chao Dong 36 161 0 07 Jul 2021
Blind Image Super-Resolution via Contrastive Representation Learning Jiahui Zhang Shijian Lu Fangneng Zhan Yingchen Yu 33 51 0 01 Jul 2021
SinIR: Efficient General Image Manipulation with Single Image Reconstruction Jihyeong Yoo Qifeng Chen 24 23 0 14 Jun 2021
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions Royson Lee Stylianos I. Venieris Nicholas D. Lane AI4TS 57 45 0 07 Jun 2021
$Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network$ Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network Ruicheng Feng Chongyi Li Huaijin Chen Shuai Li Chen Change Loy Liang Feng 37 47 0 19 Apr 2021
Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations Guanghao Yin Wei Wang Zehuan Yuan Wei Ji Dongdong Yu Shouqian Sun Tat-Seng Chua Changhu Wang 25 14 0 08 Apr 2021
The Low-Rank Simplicity Bias in Deep Networks Minyoung Huh H. Mobahi Richard Y. Zhang Brian Cheung Pulkit Agrawal Phillip Isola 35 110 0 18 Mar 2021
Training Generative Adversarial Networks in One Stage Chengchao Shen Youtan Yin Xinchao Wang Xubin Li Mingli Song Xiuming Zhang GAN 23 14 0 28 Feb 2021
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows Valentin Wolf Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte 27 41 0 14 Jan 2021
KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment Seunggeun Kim Hyeonjun Sim Munchurl Kim SupR 29 61 0 15 Dec 2020
DynaVSR: Dynamic Adaptive Blind Video Super-Resolution Suyoung Lee Myungsub Choi Kyoung Mu Lee SupR 30 16 0 09 Nov 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte SupR DRL 23 356 0 25 Jun 2020
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results Andreas Lugmayr Martin Danelljan Radu Timofte Namhyuk Ahn Dongwoon Bai ... Tongtong Zhao Yuanbo Zhou Haijie Zhuo Ziyao Zong Xueyi Zou SupR 100 170 0 05 May 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 28 122 0 15 Apr 2020
Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training Yunxuan Wei Shuhang Gu Yawei Li Longcun Jin 30 123 0 02 Apr 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 23 281 0 16 Mar 2020
Deep Blind Video Super-resolution Jin-shan Pan Song-Yang Cheng Jiawei Zhang Jinhui Tang SupR 30 46 0 10 Mar 2020
Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation Dong Gong Wei Sun Javen Qinfeng Shi Anton van den Hengel Yanning Zhang SupR 26 27 0 08 Jan 2020
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results Andreas Lugmayr Martin Danelljan Radu Timofte Manuel Fritsche Shuhang Gu ... Xiaopeng Sun Wen Lu Jie Li Xinbo Gao Sefi Bell-Kligler SupR 32 94 0 18 Nov 2019
Bregman Proximal Framework for Deep Linear Neural Networks Mahesh Chandra Mukkamala Felix Westerkamp Emanuel Laude Daniel Cremers Peter Ochs 21 7 0 08 Oct 2019
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014