most citedNTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results

54 citations · 54 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV202654 cited

NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results

Zheng Chen, Zongwei Wu, Eduard Zamfir +85

This paper reviews the NTIRE 2024 challenge on image super-resolution (4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating…

cs.CV2026

Unpaired Image Deraining Using Reward-Guided Self-Reinforcement Strategy

Yinghao Chen, Yeying Jin, Xiang Chen +3

Unsupervised deraining has attracted attention for its ability to learn the real-world distribution of rain without paired supervision. However, the lack of strong constraints make…

cs.CV2025

Prompt to Restore, Restore to Prompt: Cyclic Prompting for Universal Adverse Weather Removal

Rongxin Liao, Feng Li, Yanyan Wei +4

Universal adverse weather removal (UAWR) seeks to address various weather degradations within a unified framework. Recent methods are inspired by prompt learning using pre-trained…

cs.CV2025

NTIRE 2025 Image Shadow Removal Challenge Report

Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou +79

This work examines the findings of the NTIRE 2025 Shadow Removal Challenge. A total of 306 participants have registered, with 17 teams successfully submitting their solutions durin…

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…