SRFlow: Learning the Super-Resolution Space with Normalizing Flow

25 June 2020

Andreas Lugmayr

Martin Danelljan

Luc Van Gool

Radu Timofte

SupR

DRL

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Papers citing "SRFlow: Learning the Super-Resolution Space with Normalizing Flow"

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Title
Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation Seungcheol Park Young-Su Moon N. Cho 17 33 0 24 Nov 2022
STGlow: A Flow-based Generative Framework with Dual Graphormer for Pedestrian Trajectory Prediction Rongqin Liang Yuanman Li Jiantao Zhou Xia Li 37 12 0 21 Nov 2022
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality Guy Ohayon Theo Adrai Michael Elad T. Michaeli AAML 29 13 0 16 Nov 2022
Super-resolution Reconstruction of Single Image for Latent features Xin Wang Jingkai Yan Jingyong Cai Jiankang Deng Qin Qin Yao Cheng DiffM 24 8 0 16 Nov 2022
Learning to Immunize Images for Tamper Localization and Self-Recovery Qichao Ying Hang Zhou Zhenxing Qian Sheng Li Xinpeng Zhang AAML 34 12 0 28 Oct 2022
Invertible Monotone Operators for Normalizing Flows Byeongkeun Ahn Chiyoon Kim Youngjoon Hong Hyunwoo J. Kim TPM 30 8 0 15 Oct 2022
Blind Super-Resolution for Remote Sensing Images via Conditional Stochastic Normalizing Flows Hanlin Wu Ning Ni Shan Wang Li-bao Zhang 30 8 0 14 Oct 2022
Invertible Rescaling Network and Its Extensions Mingqing Xiao Shuxin Zheng Chang-Shu Liu Zhouchen Lin Tie-Yan Liu 24 26 0 09 Oct 2022
How Image Generation Helps Visible-to-Infrared Person Re-Identification? Honghu Pan Yongyong Chen Yunqing He Xin Li Zhenyu He 10 2 0 04 Oct 2022
Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping Aamir Mustafa Param Hanji Rafał K. Mantiuk 27 10 0 30 Sep 2022
Perception-Distortion Trade-off in the SR Space Spanned by Flow Models Cansu Korkmaz A. Murat Tekalp Zafer Doğan Erkut Erdem Aykut Erdem 22 2 0 18 Sep 2022
High-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation Shi-zhong Cai Zhijun Zhang Liqun Chen Luxin Yan Sheng Zhong Xu Zou DRL 25 14 0 12 Sep 2022
Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution Yifeng Zhou Chuming Lin Donghao Luo Yong Liu Ying Tai Chengjie Wang M. Chen 19 12 0 29 Aug 2022
Sliding Window Recurrent Network for Efficient Video Super-Resolution Wenyi Lian W. Lian SupR 22 10 0 24 Aug 2022
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows Janis Postels Martin Danelljan Luc Van Gool F. Tombari TPM 11 3 0 18 Aug 2022
Hard-Constrained Deep Learning for Climate Downscaling P. Harder Alex Hernandez-Garcia Venkatesh Ramesh Qidong Yang P. Sattigeri Daniela Szwarcman C. Watson David Rolnick 19 19 0 08 Aug 2022
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network Min Zhang Zhihong Pan Xiaoxia Zhou C.-C. Jay Kuo 25 6 0 24 Jul 2022
Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging Siyuan Dong G. Hangel Eric Z. Chen Shanhui Sun W. Bogner G. Widhalm Chenyu You J. Onofrey Robin A. de Graaf James S. Duncan MedIm 19 5 0 20 Jul 2022
Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation T. C. Pedroso Javier Del Ser Natalia Díaz Rodríguez 12 5 0 18 Jul 2022
Learning Diverse Tone Styles for Image Retouching Hao Wang Jiawei Zhang Ming-Yu Liu Xiaohe Wu W. Zuo 25 6 0 12 Jul 2022
PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization Fabian Altekrüger Alexander Denker Paul Hagemann J. Hertrich Peter Maass Gabriele Steidl MedIm 16 24 0 24 May 2022
Diverse super-resolution with pretrained deep hiererarchical VAEs Jean Prost Antoine Houdard Andrés Almansa Nicolas Papadakis DiffM 17 0 0 20 May 2022
Conformer and Blind Noisy Students for Improved Image Quality Assessment Marcos V. Conde Maxime Burchi Radu Timofte DiffM 38 14 0 27 Apr 2022
Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach Dihan Zheng Xiaowen Zhang Kaisheng Ma Chenglong Bao DiffM 21 22 0 21 Apr 2022
FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow Ki-Ung Song D. Shim Kang-Wook Kim Jae-young Lee Young-Gon Kim SupR 14 9 0 20 Apr 2022
Bayesian Image Super-Resolution with Deep Modeling of Image Statistics Shangqi Gao Xiahai Zhuang 25 16 0 31 Mar 2022
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows Aihua Mao Zihui Du Yu-Hui Wen Jun-ying Xuan Y. Liu 16 28 0 11 Mar 2022
Do better ImageNet classifiers assess perceptual similarity better? Manoj Kumar N. Houlsby Nal Kalchbrenner E. D. Cubuk 23 31 0 09 Mar 2022
Learning to Bound: A Generative Cramér-Rao Bound H. Habi H. Messer Y. Bresler 12 9 0 07 Mar 2022
Conditional Simulation Using Diffusion Schrödinger Bridges Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 17 52 0 27 Feb 2022
Deep Constrained Least Squares for Blind Image Super-Resolution Ziwei Luo Haibin Huang Lei Yu Youwei Li Haoqiang Fan Shuaicheng Liu SupR 35 87 0 15 Feb 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution Fabian Altekrüger J. Hertrich 25 15 0 20 Jan 2022
Collapse by Conditioning: Training Class-conditional GANs with Limited Data Mohamad Shahbazi Martin Danelljan D. Paudel Luc Van Gool GAN AI4CE 17 33 0 17 Jan 2022
Flexible Style Image Super-Resolution using Conditional Objective Seungcheol Park Young-Su Moon N. Cho SupR 28 17 0 13 Jan 2022
Uncovering the Over-smoothing Challenge in Image Super-Resolution: Entropy-based Quantification and Contrastive Optimization Tianshuo Xu Lijiang Li Peng Mi Xiawu Zheng Fei Chao G. Jiang Yiyi Zhou Wei Zhang SupR 16 6 0 04 Jan 2022
DSRGAN: Detail Prior-Assisted Perceptual Single Image Super-Resolution via Generative Adversarial Networks Ziyang Liu Zhengguo Li Xingming Wu Zhong Liu Weihai Chen GAN 11 25 0 25 Dec 2021
Kernel-aware Burst Blind Super-Resolution Wenyi Lian Shanglian Peng SupR 19 7 0 14 Dec 2021
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models Dongzhuo Li MedIm 32 2 0 07 Dec 2021
Deblurring via Stochastic Refinement Jay Whang M. Delbracio Hossein Talebi Chitwan Saharia A. Dimakis P. Milanfar DiffM 30 264 0 05 Dec 2021
FINO: Flow-based Joint Image and Noise Model Lanqing Guo Siyu Huang Haosen Liu B. Wen 26 5 0 11 Nov 2021
S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process Chulin Wang K. Yeo Xiao Jin Andrés Codas L. Klein Bruce Elmegreen DiffM 46 12 0 08 Nov 2021
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution Andreas Lugmayr Martin Danelljan F. I. F. Richard Yu Luc Van Gool Radu Timofte 20 14 0 05 Nov 2021
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation Muhammed Razzak Gonzalo Mateo-García L. Gómez-Chova Y. Gal F. Kalaitzis 15 39 0 05 Nov 2021
From Image to Imuge: Immunized Image Generation Qichao Ying Zhenxing Qian Hang Zhou Haisheng Xu Xinpeng Zhang Siyi Li 17 20 0 27 Oct 2021
PixelPyramids: Exact Inference Models from Lossless Image Pyramids Shweta Mahajan Stefan Roth TPM 10 2 0 17 Oct 2021
Flow Plugin Network for conditional generation Patryk Wielopolski Michal Koperski Maciej Ziȩba 3DPC AI4CE 11 2 0 07 Oct 2021
Generative Probabilistic Image Colorization Chie Furusawa S. Kitaoka Michael Li Yuri Odagiri DiffM 164 4 0 29 Sep 2021
Structure-Preserving Image Super-Resolution Cheng Ma Yongming Rao Jiwen Lu Jie Zhou SupR 21 65 0 26 Sep 2021
WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data Rupa Kurinchi-Vendhan Björn Lütjens Ritwik Gupta Lucien Werner Dava Newman 18 17 0 17 Sep 2021
Low-Light Image Enhancement with Normalizing Flow Yufei Wang Renjie Wan Wenhan Yang Haoliang Li Lap-Pui Chau Alex C. Kot 89 354 0 13 Sep 2021