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20212026
most citedEmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation

9 citations · 33 across the 18 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis

Ziqiao Peng, Wentao Hu, Yue Shi +6

Achieving high synchronization in the synthesis of realistic, speech-driven talking head videos presents a significant challenge. Traditional Generative Adversarial Networks (GAN)…

cs.SD2023

BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval

Kaixing Yang, Xukun Zhou, Xulong Tang +4

Dance and music are closely related forms of expression, with mutual retrieval between dance videos and music being a fundamental task in various fields like education, art, and sp…

cs.CV2023

STDG: Semi-Teacher-Student Training Paradigram for Depth-guided One-stage Scene Graph Generation

Xukun Zhou, Zhenbo Song, Jun He +2

Scene Graph Generation is a critical enabler of environmental comprehension for autonomous robotic systems. Most of existing methods, however, are often thwarted by the intricate d…

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…

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…