activity
20232025
most citedMDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Soul: Breathe Life into Digital Human for High-fidelity Long-term Multimodal Animation

Jiangning Zhang, Junwei Zhu, Zhenye Gan +14

We propose a multimodal-driven framework for high-fidelity long-term digital human animation termed , which generates semantically coherent videos from a single-fram…

cs.CV2025

MARRS: Masked Autoregressive Unit-based Reaction Synthesis

Yabiao Wang, Shuo Wang, Jiangning Zhang +3

This work aims at a challenging task: human action-reaction synthesis, i.e., generating human reactions conditioned on the action sequence of another person. Currently, autoregress…

cs.HC2024★ 1 cited

MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion

Chencan Fu, Yabiao Wang, Jiangning Zhang +7

Co-speech gesture generation is crucial for producing synchronized and realistic human gestures that accompany speech, enhancing the animation of lifelike avatars in virtual enviro…

cs.CV2024★ 6 cited

MDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation

Xiaofeng Mao, Zhengkai Jiang, Qilin Wang +7

Recent advancements in the field of Diffusion Transformers have substantially improved the generation of high-quality 2D images, 3D videos, and 3D shapes. However, the effectivenes…

cs.CV2023★ 3 cited

A Coarse-to-Fine Place Recognition Approach using Attention-guided Descriptors and Overlap Estimation

Chencan Fu, Lin Li, Jianbiao Mei +4

Place recognition is a challenging but crucial task in robotics. Current description-based methods may be limited by representation capabilities, while pairwise similarity-based me…