2 citations · 3 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
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 to…
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…
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…