most citedDiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2024

DiM-Gestor: Co-Speech Gesture Generation with Adaptive Layer Normalization Mamba-2

Fan Zhang, Siyuan Zhao, Naye Ji +12

Speech-driven gesture generation using transformer-based generative models represents a rapidly advancing area within virtual human creation. However, existing models face signific…

cs.GR2024

DiM-Gesture: Co-Speech Gesture Generation with Adaptive Layer Normalization Mamba-2 framework

Fan Zhang, Naye Ji, Fuxing Gao +9

Speech-driven gesture generation is an emerging domain within virtual human creation, where current methods predominantly utilize Transformer-based architectures that necessitate e…

cs.SD2024

Speech-driven Personalized Gesture Synthetics: Harnessing Automatic Fuzzy Feature Inference

Fan Zhang, Zhaohan Wang, Xin Lyu +8

Speech-driven gesture generation is an emerging field within virtual human creation. However, a significant challenge lies in accurately determining and processing the multitude of…

cs.CV2023

Few-shots Portrait Generation with Style Enhancement and Identity Preservation

Runchuan Zhu, Naye Ji, Youbing Zhao +1

Nowadays, the wide application of virtual digital human promotes the comprehensive prosperity and development of digital culture supported by digital economy. The personalized port…

cs.GR20234 cited

DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model

Fan Zhang, Naye Ji, Fuxing Gao +1

Speech-driven gesture synthesis is a field of growing interest in virtual human creation. However, a critical challenge is the inherent intricate one-to-many mapping between speech…