9 citations · 12 across the 9 of their papers we have counts for
13 papers
OmniDance: Multimodal Driven Dance Video Generation with Large-scale Internet Data
Kaixing Yang, Jiashu Zhu, Xulong Tang +8
Music-driven dance video generation aims to synthesize expressive human motion that is temporally aligned with music while maintaining high visual fidelity. Despite recent progress…
MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Dance Video Generation
Kaixing Yang, Jiashu Zhu, Xulong Tang +7
With the rise of online dance-video platforms and rapid advances in AI-generated content (AIGC), music-driven dance generation has emerged as a compelling research direction. Despi…
FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation
Kaixing Yang, Xulong Tang, Ziqiao Peng +4
Music-to-dance generation aims to translate auditory signals into expressive human motion, with broad applications in virtual reality, choreography, and digital entertainment. Desp…
GGTalker: Talking Head Systhesis with Generalizable Gaussian Priors and Identity-Specific Adaptation
Wentao Hu, Shunkai Li, Ziqiao Peng +6
Creating high-quality, generalizable speech-driven 3D talking heads remains a persistent challenge. Previous methods achieve satisfactory results for fixed viewpoints and small-sca…
SyncTalk++: High-Fidelity and Efficient Synchronized Talking Heads Synthesis Using Gaussian Splatting
Ziqiao Peng, Wentao Hu, Junyuan Ma +7
Achieving high synchronization in the synthesis of realistic, speech-driven talking head videos presents a significant challenge. A lifelike talking head requires synchronized coor…
DualTalk: Dual-Speaker Interaction for 3D Talking Head Conversations
Ziqiao Peng, Yanbo Fan, Haoyu Wu +4
In face-to-face conversations, individuals need to switch between speaking and listening roles seamlessly. Existing 3D talking head generation models focus solely on speaking or li…
OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers
Ziqiao Peng, Jiwen Liu, Haoxian Zhang +6
Lip synchronization is the task of aligning a speaker's lip movements in video with corresponding speech audio, and it is essential for creating realistic, expressive video content…
MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance Generation
Kaixing Yang, Xulong Tang, Ziqiao Peng +3
Music-driven 3D dance generation has attracted increasing attention in recent years, with promising applications in choreography, virtual reality, and creative content creation. Pr…
VGG-Tex: A Vivid Geometry-Guided Facial Texture Estimation Model for High Fidelity Monocular 3D Face Reconstruction
Haoyu Wu, Ziqiao Peng, Xukun Zhou +4
3D face reconstruction from monocular images has promoted the development of various applications such as augmented reality. Though existing methods have made remarkable progress,…
Meta-Learning Empowered Meta-Face: Personalized Speaking Style Adaptation for Audio-Driven 3D Talking Face Animation
Xukun Zhou, Fengxin Li, Ziqiao Peng +5
Audio-driven 3D face animation is increasingly vital in live streaming and augmented reality applications. While remarkable progress has been observed, most existing approaches are…
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)…
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…
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…