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cs.CV2026

PostureObjectstitch: Anomaly Image Generation Considering Assembly Relationships in Industrial Scenarios

Zebei Tong, Hongchang Chen, Yujie Lei +7

Image generation technology can synthesize condition-specific images to supplement real-world industrial anomaly data and enhance anomaly detection model performance. Existing gene…

cs.CV2026

Style-Decoupled Adaptive Routing Network for Underwater Image Enhancement

Hang Xu, Chen Long, Bing Wang +2

Underwater Image Enhancement (UIE) is essential for robust visual perception in marine applications. However, existing methods predominantly rely on uniform mapping tailored to ave…

cs.CV2026

NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results

Xin Li, Jiachao Gong, Xijun Wang +75

This paper presents an overview of the NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models. This challenge utilizes a new short-form UGC (S-…

cs.CV2026

UDAPose: Unsupervised Domain Adaptation for Low-Light Human Pose Estimation

Haopeng Chen, Yihao Ai, Kabeen Kim +3

Low-visibility scenarios, such as low-light conditions, pose significant challenges to human pose estimation due to the scarcity of annotated low-light datasets and the loss of vis…

cs.CV2025

Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Team Seawead, Ceyuan Yang, Zhijie Lin +52

This technical report presents a cost-efficient strategy for training a video generation foundation model. We present a mid-sized research model with approximately 7 billion parame…

cs.CV2024

Phase Matching for Out-of-Distribution Generalization

Chengming Hu, Yeqian Du, Rui Wang +2

The Fourier transform, an explicit decomposition method for visual signals, has been employed to explain the out-of-distribution generalization behaviors of Deep Neural Networks (D…