most citedThe ReprGesture entry to the GENEA Challenge 2022

16 citations · 27 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

AdaMesh: Personalized Facial Expressions and Head Poses for Adaptive Speech-Driven 3D Facial Animation

Liyang Chen, Weihong Bao, Shun Lei +5

Speech-driven 3D facial animation aims at generating facial movements that are synchronized with the driving speech, which has been widely explored recently. Existing works mostly…

cs.CV2023★ 1 cited

VAST: Vivify Your Talking Avatar via Zero-Shot Expressive Facial Style Transfer

Liyang Chen, Zhiyong Wu, Runnan Li +4

Current talking face generation methods mainly focus on speech-lip synchronization. However, insufficient investigation on the facial talking style leads to a lifeless and monotono…

cs.HC2023★ 5 cited

QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation

Sicheng Yang, Zhiyong Wu, Minglei Li +4

Speech-driven gesture generation is highly challenging due to the random jitters of human motion. In addition, there is an inherent asynchronous relationship between human speech a…

cs.HC2023★ 5 cited

DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models

Sicheng Yang, Zhiyong Wu, Minglei Li +5

The art of communication beyond speech there are gestures. The automatic co-speech gesture generation draws much attention in computer animation. It is a challenging task due to th…

cs.HC2022★ 16 cited

The ReprGesture entry to the GENEA Challenge 2022

Sicheng Yang, Zhiyong Wu, Minglei Li +4

This paper describes the ReprGesture entry to the Generation and Evaluation of Non-verbal Behaviour for Embodied Agents (GENEA) challenge 2022. The GENEA challenge provides the pro…