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20242026
most citedUnveiling the Underwater World: CLIP Perception Model-Guided Underwater Image Enhancement

31 citations · 34 across the 10 of their papers we have counts for

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

Low-Light Image Enhancement (LLIE) requires a careful balance among noise suppression, color fidelity, and efficiency. Recent HVI-based methods alleviate color entanglement by deco…

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

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

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…

cs.CV2026

Scene Graph-guided SegCaptioning Transformer with Fine-grained Alignment for Controllable Video Segmentation and Captioning

Xu Zhang, Jin Yuan, BinHong Yang +5

Recent advancements in multimodal large models have significantly bridged the representation gap between diverse modalities, catalyzing the evolution of video multimodal interpreta…

eess.IV2025

Enhanced Quality Aware-Scalable Underwater Image Compression

Linwei Zhu, Junhao Zhu, Xu Zhang +4

Underwater imaging plays a pivotal role in marine exploration and ecological monitoring. However, it faces significant challenges of limited transmission bandwidth and severe disto…

cs.CV2025

Hierarchical Graph Attention Network for No-Reference Omnidirectional Image Quality Assessment

Hao Yang, Xu Zhang, Jiaqi Ma +3

Current Omnidirectional Image Quality Assessment (OIQA) methods struggle to evaluate locally non-uniform distortions due to inadequate modeling of spatial variations in quality and…

cs.CV2025

MRC-DETR: An Adaptive Multi-Residual Coupled Transformer for Bare Board PCB Defect Detection

Jiangzhong Cao, Huanqi Wu, Xu Zhang +2

In modern electronic manufacturing, defect detection on Printed Circuit Boards (PCBs) plays a critical role in ensuring product yield and maintaining the reliability of downstream…

cs.CV2025★ 31 cited

Unveiling the Underwater World: CLIP Perception Model-Guided Underwater Image Enhancement

Jiangzhong Cao, Zekai Zeng, Xu Zhang +4

High-quality underwater images are essential for both machine vision tasks and viewers with their aesthetic appeal.However, the quality of underwater images is severely affected by…

cs.CV2024★ 3 cited

Joint multi-dimensional dynamic attention and transformer for general image restoration

Huan Zhang, Xu Zhang, Nian Cai +2

Outdoor images often suffer from severe degradation due to rain, haze, and noise, impairing image quality and challenging high-level tasks. Current image restoration methods strugg…