1 citations · 2 across the 5 of their papers we have counts for
5 papers
Wan-Animate: Unified Character Animation and Replacement with Holistic Replication
Gang Cheng, Xin Gao, Li Hu +23
We introduce Wan-Animate, a unified framework for character animation and replacement. Given a character image and a reference video, Wan-Animate can animate the character by preci…
Wan-S2V: Audio-Driven Cinematic Video Generation
Xin Gao, Li Hu, Siqi Hu +20
Current state-of-the-art (SOTA) methods for audio-driven character animation demonstrate promising performance for scenarios primarily involving speech and singing. However, they o…
EMO2: End-Effector Guided Audio-Driven Avatar Video Generation
Linrui Tian, Siqi Hu, Qi Wang +2
In this paper, we propose a novel audio-driven talking head method capable of simultaneously generating highly expressive facial expressions and hand gestures. Unlike existing meth…
Make-A-Character: High Quality Text-to-3D Character Generation within Minutes
Jianqiang Ren, Chao He, Lin Liu +10
There is a growing demand for customized and expressive 3D characters with the emergence of AI agents and Metaverse, but creating 3D characters using traditional computer graphics…
A Real World Dataset for Multi-view 3D Reconstruction
Rakesh Shrestha, Siqi Hu, Minghao Gou +2
We present a dataset of 998 3D models of everyday tabletop objects along with their 847,000 real world RGB and depth images. Accurate annotations of camera poses and object poses f…