1 citations · 2 across the 6 of their papers we have counts for
6 papers
The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results
Lei Sun, Hang Guo, Bin Ren +6
This paper reports on the NTIRE 2026 Challenge on Image Denoising, specifically focusing on the high-noise regime (). The competition investigates advanced neural architectu…
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…
Hierarchical Information Flow for Generalized Efficient Image Restoration
Yawei Li, Bin Ren, Jingyun Liang +5
While vision transformers show promise in numerous image restoration (IR) tasks, the challenge remains in efficiently generalizing and scaling up a model for multiple IR tasks. To…
Shapley Pruning for Neural Network Compression
Kamil Adamczewski, Yawei Li, Luc van Gool
Neural network pruning is a rich field with a variety of approaches. In this work, we propose to connect the existing pruning concepts such as leave-one-out pruning and oracle prun…
Empowering Image Recovery_ A Multi-Attention Approach
Juan Wen, Yawei Li, Chao Zhang +3
We propose Diverse Restormer (DART), a novel image restoration method that effectively integrates information from various sources (long sequences, local and global regions, featur…
Key-Graph Transformer for Image Restoration
Bin Ren, Yawei Li, Jingyun Liang +5
While it is crucial to capture global information for effective image restoration (IR), integrating such cues into transformer-based methods becomes computationally expensive, espe…