most citedEmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation

9 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

EmoTaG: Emotion-Aware Talking Head Synthesis on Gaussian Splatting with Few-Shot Personalization

Haolan Xu, Keli Cheng, Lei Wang +2

Audio-driven 3D talking head synthesis has advanced rapidly with Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS). By leveraging rich pre-trained priors, few-shot met…

cs.CV2023

D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field

Xueting Yang, Yihao Luo, Yuliang Xiu +3

Realistic virtual humans play a crucial role in numerous industries, such as metaverse, intelligent healthcare, and self-driving simulation. But creating them on a large scale with…

cs.CV2023★ 3 cited

SelfTalk: A Self-Supervised Commutative Training Diagram to Comprehend 3D Talking Faces

Ziqiao Peng, Yihao Luo, Yue Shi +5

Speech-driven 3D face animation technique, extending its applications to various multimedia fields. Previous research has generated promising realistic lip movements and facial exp…

eess.AS2023

Speaker Diaphragm Excursion Prediction: deep attention and online adaptation

Yuwei Ren, Matt Zivney, Yin Huang +3

Speaker protection algorithm is to leverage the playback signal properties to prevent over excursion while maintaining maximum loudness, especially for the mobile phone with tiny l…

cs.CV2023★ 9 cited

EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation

Ziqiao Peng, Haoyu Wu, Zhenbo Song +5

Speech-driven 3D face animation aims to generate realistic facial expressions that match the speech content and emotion. However, existing methods often neglect emotional facial ex…