From Face to Natural Image: Learning Real Degradation for Blind Image
Super-Resolution

From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution

3 October 2022

Lei Zhang

Papers citing "From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution"

7 / 7 papers shown

Title
Infrared Image Super-Resolution: Systematic Review, and Future Trends Y. Huang Tomo Miyazaki Xiao-Fang Liu S. Omachi SupR 91 10 0 21 Feb 2025
DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-Resolution Aiwen Jiang Zhi Wei Long Peng Feiqiang Liu Wenbo Li Mingwen Wang DiffM 44 2 0 24 Jun 2024
Towards Realistic Data Generation for Real-World Super-Resolution Long Peng Wenbo Li Renjing Pei Jingjing Ren Xueyang Fu Yang Wang Yang Cao Zheng-Jun Zha 34 16 0 11 Jun 2024
Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach Tao Yang Peiran Ren Xuansong Xie Lei Zhang DiffM 24 15 0 13 Mar 2023
Towards Flexible Blind JPEG Artifacts Removal Jiaxi Jiang K. Zhang Radu Timofte 64 106 0 29 Sep 2021
Unsupervised Learning for Real-World Super-Resolution Andreas Lugmayr Martin Danelljan Radu Timofte SSL SupR 132 167 0 20 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 276 10,348 0 12 Dec 2018