activity
20232026
most citedThe Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

The Second LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results

Xiang Chen, Hao Li, Jiangxin Dong +89

This paper presents a review of the second LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aims to advance unified image restoration under diverse real-wo…

cs.CV2026

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results

Xiang Chen, Hao Li, Jiangxin Dong +54

This paper presents a review for the LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aimed to advance research on real-world all-in-one image restoration…

cs.CV2026

SLER-IR: Spherical Layer-wise Expert Routing for All-in-One Image Restoration

Peng Shurui, Xin Lin, Shi Luo +5

Image restoration under diverse degradations remains challenging for unified all-in-one frameworks due to feature interference and insufficient expert specialization. We propose SL…

eess.IV2024

Dual-Representation Interaction Driven Image Quality Assessment with Restoration Assistance

Jingtong Yue, Xin Lin, Zijiu Yang +1

No-Reference Image Quality Assessment for distorted images has always been a challenging problem due to image content variance and distortion diversity. Previous IQA models mostly…

cs.CV2024

Re-boosting Self-Collaboration Parallel Prompt GAN for Unsupervised Image Restoration

Xin Lin, Yuyan Zhou, Jingtong Yue +4

Unsupervised restoration approaches based on generative adversarial networks (GANs) offer a promising solution without requiring paired datasets. Yet, these GAN-based approaches st…

cs.CV2024★ 1 cited

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren, Yawei Li, Nancy Mehta +129

This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this cha…

cs.CV2023

Multi-task Image Restoration Guided By Robust DINO Features

Xin Lin, Jingtong Yue, Kelvin C. K. Chan +4

Multi-task image restoration has gained significant interest due to its inherent versatility and efficiency compared to its single-task counterpart. However, performance decline is…