activity
20232026
most citedLivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

LightCtrl: Training-free Controllable Video Relighting

Yizuo Peng, Xuelin Chen, Kai Zhang +1

Recent diffusion models have achieved remarkable success in image relighting, and this success has quickly been extended to video relighting. However, existing methods offer limite…

cs.CV2025

Democratizing High-Fidelity Co-Speech Gesture Video Generation

Xu Yang, Shaoli Huang, Shenbo Xie +3

Co-speech gesture video generation aims to synthesize realistic, audio-aligned videos of speakers, complete with synchronized facial expressions and body gestures. This task presen…

cs.GR2025

DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech

Yongkang Cheng, Shaoli Huang, Xuelin Chen +2

Diffusion models have demonstrated remarkable synthesis quality and diversity in generating co-speech gestures. However, the computationally intensive sampling steps associated wit…

cs.GR2024

CT4D: Consistent Text-to-4D Generation with Animatable Meshes

Ce Chen, Shaoli Huang, Xuelin Chen +4

Text-to-4D generation has recently been demonstrated viable by integrating a 2D image diffusion model with a video diffusion model. However, existing models tend to produce results…

cs.CV2023★ 1 cited

LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation

Yihao Zhi, Xiaodong Cun, Xuelin Chen +4

Gestures are non-verbal but important behaviors accompanying people's speech. While previous methods are able to generate speech rhythm-synchronized gestures, the semantic context…