Low-Res Leads the Way: Improving Generalization for Super-Resolution by
Self-Supervised Learning

Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning

5 March 2024

Jinjin Gu

Youliang Yan

Lei Zhu

Papers citing "Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning"

6 / 6 papers shown

Title
The Power of Context: How Multimodality Improves Image Super-Resolution Kangfu Mei Hossein Talebi Mojtaba Ardakani Vishal M. Patel P. Milanfar M. Delbracio DiffM 85 1 0 18 Mar 2025
Revisiting the Generalization Problem of Low-level Vision Models Through the Lens of Image Deraining Jinfan Hu Zhiyuan You Jinjin Gu Kaiwen Zhu Tianfan Xue Chao Dong 50 0 0 18 Feb 2025
An Intelligent Agentic System for Complex Image Restoration Problems Kaiwen Zhu Jinjin Gu Zhiyuan You Yu Qiao Chao Dong 43 6 0 23 Oct 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 40 17 0 11 Jun 2024
Attention in Attention Network for Image Super-Resolution Haoyu Chen Jinjin Gu Zhi-Li Zhang SupR 31 68 0 19 Apr 2021
Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric Jinjin Gu Haoming Cai Haoyu Chen Xiaoxing Ye Jimmy S. J. Ren Chao Dong 34 43 0 30 Nov 2020