4 papers
GSwap: Realistic Head Swapping with Dynamic Neural Gaussian Field
Jingtao Zhou, Xuan Gao, Dongyu Liu +3
We present GSwap, a novel consistent and realistic video head-swapping system empowered by dynamic neural Gaussian portrait priors, which significantly advances the state of the ar…
Easy3E: Feed-Forward 3D Asset Editing via Rectified Voxel Flow
Shimin Hu, Yuanyi Wei, Fei Zha +2
Existing 3D editing methods rely on computationally intensive scene-by-scene iterative optimization and suffer from multi-view inconsistency. We propose an effective and feed-forwa…
Hybrid Explicit Representation for Ultra-Realistic Head Avatars
Hongrui Cai, Yuting Xiao, Xuan Wang +5
We introduce a novel approach to creating ultra-realistic head avatars and rendering them in real-time (>30fps at resolution). First, we propose a hybrid explici…
One Shot, One Talk: Whole-body Talking Avatar from a Single Image
Jun Xiang, Yudong Guo, Leipeng Hu +3
Building realistic and animatable avatars still requires minutes of multi-view or monocular self-rotating videos, and most methods lack precise control over gestures and expression…