activity
20212025
most citedCADDreamer: CAD Object Generation from Single-view Images

1 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025★ 1 cited

CADDreamer: CAD Object Generation from Single-view Images

Yuan Li, Cheng Lin, Yuan Liu +6

Diffusion-based 3D generation has made remarkable progress in recent years. However, existing 3D generative models often produce overly dense and unstructured meshes, which stand i…

cs.CV2025★ 1 cited

WonderHuman: Hallucinating Unseen Parts in Dynamic 3D Human Reconstruction

Zilong Wang, Zhiyang Dou, Yuan Liu +7

In this paper, we present WonderHuman to reconstruct dynamic human avatars from a monocular video for high-fidelity novel view synthesis. Previous dynamic human avatar reconstructi…

cs.CV2024

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…

cs.CV2024★ 1 cited

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…

cs.MM2024

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…

cs.CV2023★ 1 cited

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…

cs.CV2021

FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning

Chenxu Zhang, Yifan Zhao, Yifei Huang +4

In this paper, we propose a talking face generation method that takes an audio signal as input and a short target video clip as reference, and synthesizes a photo-realistic video o…