1 citations · 2 across the 5 of their papers we have counts for
6 papers
CustomDance: Customized 3D Dance Generation with Coarse-to-Fine Human-Centered Interactive Control
Xulong Tang, Kaixing Yang, Xiaohu Guo +2
With the rise of AI-generated content (AIGC) and advanced techniques for 3D human representation, the task of generating 3D dance movements has become an exciting area of research.…
Joint Co-Speech Gesture and Expressive Talking Face Generation using Diffusion with Adapters
Steven Hogue, Chenxu Zhang, Yapeng Tian +1
Recent advances in co-speech gesture and talking head generation have been impressive, yet most methods focus on only one of the two tasks. Those that attempt to generate both ofte…
DiffTED: One-shot Audio-driven TED Talk Video Generation with Diffusion-based Co-speech Gestures
Steven Hogue, Chenxu Zhang, Hamza Daruger +2
Audio-driven talking video generation has advanced significantly, but existing methods often depend on video-to-video translation techniques and traditional generative networks lik…
HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction
Jikai Wang, Qifan Zhang, Yu-Wei Chao +3
We introduce a data capture system and a new dataset, HO-Cap, for 3D reconstruction and pose tracking of hands and objects in videos. The system leverages multiple RGBD cameras and…
Robust Active Speaker Detection in Noisy Environments
Siva Sai Nagender Vasireddy, Chenxu Zhang, Xiaohu Guo +1
This paper addresses the issue of active speaker detection (ASD) in noisy environments and formulates a robust active speaker detection (rASD) problem. Existing ASD approaches leve…
DREAM-Talk: Diffusion-based Realistic Emotional Audio-driven Method for Single Image Talking Face Generation
Chenxu Zhang, Chao Wang, Jianfeng Zhang +7
The generation of emotional talking faces from a single portrait image remains a significant challenge. The simultaneous achievement of expressive emotional talking and accurate li…