activity
20182026
most citedReconstructing Personalized Semantic Facial NeRF Models From Monocular Video

130 citations · 172 across the 8 of their papers we have counts for

collaborators

12 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2024

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…

cs.CV2024

Portrait Video Editing Empowered by Multimodal Generative Priors

Xuan Gao, Haiyao Xiao, Chenglai Zhong +3

We introduce PortraitGen, a powerful portrait video editing method that achieves consistent and expressive stylization with multimodal prompts. Traditional portrait video editing m…

cs.GR2022130 cited

Reconstructing Personalized Semantic Facial NeRF Models From Monocular Video

Xuan Gao, Chenglai Zhong, Jun Xiang +3

We present a novel semantic model for human head defined with neural radiance field. The 3D-consistent head model consist of a set of disentangled and interpretable bases, and can…

cs.CV202135 cited

Prior-Guided Multi-View 3D Head Reconstruction

Xueying Wang, Yudong Guo, Zhongqi Yang +1

Recovery of a 3D head model including the complete face and hair regions is still a challenging problem in computer vision and graphics. In this paper, we consider this problem usi…