Wenyang Zhou — accepted AI-conference papers

2026

Multigrain-aware Semantic Prototype Scanning and Tri-Token Prompt Learning Embraced High-Order RWKV for Pan-Sharpening

Junfeng Li, Wenyang Zhou, Xueheng Li, Xuanhua He, Jianhou Gan, Wenqi Ren

CVPR 2026

In this work, we propose a Multigrain-aware Semantic Prototype Scanning paradigm for pan-sharpening, built upon a high-order RWKV architecture and a tri-token prompting mechanism derived from semantic clustering. Specifically, our method contains three key components: 1) Multigrain-aware Semantic Pr

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2024

"EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Human Motion Generation"

Wenyang Zhou, Zhiyang Dou*, Zeyu Cao, Zhouyingcheng Liao, Jingbo Wang, Wenjia Wang +4

ECCV 2024poster

"We introduce Efficient Motion Diffusion Model (EMDM) for fast and high-quality human motion generation. Current state-of-the-art generative diffusion models have produced impressive results but struggle to achieve fast generation without sacrificing quality. On the one hand, previous works, like mo…

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