Publications (4)
RQUL-UIE: Revitalizing Quality-Unstable Labels for Underwater Image Enhancement via In-Dataset Self-Supervision
Haochen Hu, Yanrui Bin, Chih-yung Wen +1
Underwater Image Enhancement (UIE) is essential for mitigating degradations caused by water medium. Although learning-based methods have advanced significantly, most rely on paired…
Fusing Transferred Priors and Physics-based Decomposition for Underwater Image Enhancement
Haochen Hu, Yanrui Bin, Zhengyan Zhang +3
The underwater images are captured within diverse water-medium conditions, leading to complex degradation, including color bias, low contrast, and blur effect. Recently, learning-b…
AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System
Li Yi, Haochen Hu, Jingwei Zhao +1
We propose AccoMontage2, a system capable of doing full-length song harmonization and accompaniment arrangement based on a lead melody. Following AccoMontage, this study focuses on…
PhysInOne: Visual Physics Learning and Reasoning in One Suite
Siyuan Zhou, Hejun Wang, Hu Cheng +36
We present PhysInOne, a large-scale synthetic dataset addressing the critical scarcity of physically-grounded training data for AI systems. Unlike existing datasets limited to mere…