collaborators

12 papers

cs.CV2026

Degradation-Guided Underwater Image Restoration with Task-Oriented Latent Control

Xu Zhang, Xuhui Cao, Kangzhe Yuan +5

Degradation information in underwater images plays a dual role: its spatial and spectral cues can guide adaptive restoration, while degradation-entangled features may be propagated…

cs.CV2026

The Second LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results

Xiang Chen, Hao Li, Jiangxin Dong +89

This paper presents a review of the second LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aims to advance unified image restoration under diverse real-wo…

cs.CV2026

Thresholded Cross-Attention for Reliable Intensity-Chromaticity Fusion in Low-Light Image Enhancement

Yanyi Wu, Xu Zhang, Junkai Chen +6

The paper introduces TCA-Net, which uses a thresholded cross-attention mechanism to more reliably fuse intensity and chromaticity information for low-light image enhancement, impro…

cs.CV2026

UniPCB: A Generation-Assisted Vision-Based Measurement Framework for PCB Defect Inspection

Huan Zhang, Lianghong Tan, Yichu Xu +5

Automated optical inspection (AOI) is a vision-based instrumentation process that detects and localizes physical defects on printed circuit boards (PCBs) from optically acquired im…

cs.CV2026

InterLight: Leveraging Intrinsic Illumination Priors for Low-Light Image Enhancement

Ziqi Wang, Xu Zhang, Laibin Chang +3

Low-Light Image Enhancement (LLIE) has long been a challenging problem in low-level vision, as insufficient illumination often leads to low contrast, detail loss, and noise. Recent…

cs.CV2026

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results

Xiang Chen, Hao Li, Jiangxin Dong +54

This paper presents a review for the LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aimed to advance research on real-world all-in-one image restoration…