most citedNTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results

2 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV20262 cited

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results

Zheng Chen, Kai Liu, Jue Gong +108

This paper presents the NTIRE 2025 image super-resolution (4) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025. The challenge aims to r…

cs.CV2026

Low Light Image Enhancement Challenge at NTIRE 2026

George Ciubotariu, Sharif S M A, Abdur Rehman +90

This paper presents a comprehensive review of the NTIRE 2026 Low Light Image Enhancement Challenge, highlighting the proposed solutions and final results. The objective of this cha…

cs.CV2026

ICM-SR: Image-Conditioned Manifold Regularization for Image Super-Resolution

Junoh Kang, Donghun Ryou, Bohyung Han

Real world image super-resolution (Real-ISR) often leverages the powerful generative priors of text-to-image diffusion models by regularizing the output to lie on their learned man…

eess.IV20261 cited

Learning to Translate Noise for Robust Image Denoising

Inju Ha, Donghun Ryou, Seonguk Seo +1

Deep learning-based image denoising techniques often struggle with poor generalization performance to out-of-distribution real-world noise. To tackle this challenge, we propose a n…

cs.CV2026

Beyond the Ground Truth: Enhanced Supervision for Image Restoration

Donghun Ryou, Inju Ha, Sanghyeok Chu +1

Deep learning-based image restoration has achieved significant success. However, when addressing real-world degradations, model performance is limited by the quality of groundtruth…

cs.CV2025

The Tenth NTIRE 2025 Image Denoising Challenge Report

Lei Sun, Hang Guo, Bin Ren +91

This paper presents an overview of the NTIRE 2025 Image Denoising Challenge (σ = 50), highlighting the proposed methodologies and corresponding results. The primary objective is t…