Kang Fu — accepted AI-conference papers

2024

A Reduced-Reference Quality Assessment Metric for Textured Mesh Digital Humans

Zicheng Zhang, Yingjie Zhou, Chunyi Li, Kang Fu, Wei Sun, Xiaohong Liu +2

ICASSP 2024accepted

In an era where 3D Digital Humans (DHs) are becoming increasingly prevalent in fields like gaming, automotive, and the metaverse, the demand for high DH visual quality is rising. This paper presents the first-ever reduced-reference (RR) quality assessment metric tailored specifically for textured me…

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2024

AttentionLUT: Attention Fusion-Based Canonical Polyadic LUT for Real-Time Image Enhancement

Kang Fu, Yicong Peng, Zicheng Zhang, Qihang Xu, Xiaohong Liu, Jia Wang +1

ICASSP 2024accepted

Recently, many algorithms have employed image-adaptive lookup tables (LUTs) to achieve real-time image enhancement. Nonetheless, a prevailing trend among existing methods has been the employment of linear combinations of basic LUTs to formulate image-adaptive LUTs, which limits the generalization ab…

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