3 papers
cs.CV2026
Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation
Yifei Liu, Changxing Ding, Ling Guo +2
Diffusion models have seen widespread adoption for text-driven human motion generation and related tasks due to their impressive generative capabilities and flexibility. However, c…
cs.NE2025
LLMs Help Alleviate the Cross-Subject Variability in Brain Signal and Language Alignment
Yifei Liu, Hengwei Ye, Shuhang Li
Decoding human activity from EEG signals has long been a popular research topic. While recent studies have increasingly shifted focus from single-subject to cross-subject analysis,…
cs.CV2024
Towards Variable and Coordinated Holistic Co-Speech Motion Generation
Yifei Liu, Qiong Cao, Yandong Wen +2
This paper addresses the problem of generating lifelike holistic co-speech motions for 3D avatars, focusing on two key aspects: variability and coordination. Variability allows the…