activity
20242026
most citedNTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results

3 citations · 4 across the 7 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Reinforcing What the Student Has Learned: Teacher-Guided On-Policy Distillation

Bozhen Fang, Linhao Zhong, Xuehao Wang +3

On-policy distillation (OPD) improves language-model reasoning through dense teacher feedback on student-generated responses.We first observe an amplitude disparity in this feedbac…

cs.CV2026

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation

Guangkai Xu, Hua Geng, Huanyi Zheng +4

Feed-forward visual geometry estimation has recently made rapid progress. However, an important gap remains: multi-frame models usually produce better cross-frame consistency, yet…

cs.CV2026

Exploring Spatial Intelligence from a Generative Perspective

Muzhi Zhu, Shunyao Jiang, Huanyi Zheng +9

Spatial intelligence is essential for multimodal large language models, yet current benchmarks largely assess it only from an understanding perspective. We ask whether modern gener…

eess.IV2025

RAW Image Reconstruction from RGB on Smartphones. NTIRE 2025 Challenge Report

Marcos V. Conde, Radu Timofte, Radu Berdan +30

Numerous low-level vision tasks operate in the RAW domain due to its linear properties, bit depth, and sensor designs. Despite this, RAW image datasets are scarce and more expensiv…

cs.CV2025

The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report

Bin Ren, Hang Guo, Lei Sun +143

This paper presents a comprehensive review of the NTIRE 2025 Challenge on Single-Image Efficient Super-Resolution (ESR). The challenge aimed to advance the development of deep mode…

cs.CV2024★ 3 cited

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results

Xiaoning Liu, Zongwei Wu, Ao Li +109

This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective netw…

cs.CV2024

GT-Rain Single Image Deraining Challenge Report

Howard Zhang, Yunhao Ba, Ethan Yang +20

This report reviews the results of the GT-Rain challenge on single image deraining at the UG2+ workshop at CVPR 2023. The aim of this competition is to study the rainy weather phen…

cs.CV2024★ 1 cited

Exploiting Regional Information Transformer for Single Image Deraining

Baiang Li, Zhao Zhang, Huan Zheng +5

Transformer-based Single Image Deraining (SID) methods have achieved remarkable success, primarily attributed to their robust capability in capturing long-range interactions. Howev…