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

2 citations · 2 across the 1 of their papers we have counts for

collaborators

20 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

VISTA: Validation-Guided Integration of Spatial and Temporal Foundation Models with Anatomical Decoding for Rare-Pathology VCE Event Detection -- after competition results

Bo-Cheng Qiu, Fang-Ying Lin, Ming-Han Sun +3

Capsule endoscopy event detection is challenging because clinically relevant findings are sparse, visually heterogeneous, and evaluated at the event level rather than by frame accu…

cs.CV2026

NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods

Jie Cai, Kangning Yang, Zhiyuan Li +50

In this paper, we review the NTIRE 2026 challenge on single-image reflection removal (SIRR) in the wild. SIRR is a fundamental task in image restoration. Despite progress in academ…

cs.CV2026

CANDLE: Illumination-Invariant Semantic Priors for Color Ambient Lighting Normalization

Rong-Lin Jian, Ting-Yao Chen, Yu-Fan Lin +4

Color ambient lighting normalization under multi-colored illumination is challenging due to severe chromatic shifts, highlight saturation, and material-dependent reflectance. Exist…

cs.CV2026

PhaSR: Generalized Image Shadow Removal with Physically Aligned Priors

Chia-Ming Lee, Yu-Fan Lin, Yu-Jou Hsiao +3

Shadow removal under diverse lighting conditions requires disentangling illumination from intrinsic reflectance, a challenge compounded when physical priors are not properly aligne…

cs.CV2026

ReflexSplit: Single Image Reflection Separation via Layer Fusion-Separation

Chia-Ming Lee, Yu-Fan Lin, Jin-Hui Jiang +3

Single Image Reflection Separation (SIRS) disentangles mixed images into transmission and reflection layers. Existing methods suffer from transmission-reflection confusion under no…