130 citations · 200 across the 19 of their papers we have counts for
19 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…
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…
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…
PICA: Physics-Integrated Clothed Avatar
Bo Peng, Yunfan Tao, Haoyu Zhan +2
We introduce PICA, a novel representation for high-fidelity animatable clothed human avatars with physics-accurate dynamics, even for loose clothing. Previous neural rendering-base…
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…
FlashAvatar: High-fidelity Head Avatar with Efficient Gaussian Embedding
Jun Xiang, Xuan Gao, Yudong Guo +1
We propose FlashAvatar, a novel and lightweight 3D animatable avatar representation that could reconstruct a digital avatar from a short monocular video sequence in minutes and ren…
CosAvatar: Consistent and Animatable Portrait Video Tuning with Text Prompt
Haiyao Xiao, Chenglai Zhong, Xuan Gao +2
Recently, text-guided digital portrait editing has attracted more and more attentions. However, existing methods still struggle to maintain consistency across time, expression, and…
MetaHead: An Engine to Create Realistic Digital Head
Dingyun Zhang, Chenglai Zhong, Yudong Guo +2
Collecting and labeling training data is one important step for learning-based methods because the process is time-consuming and biased. For face analysis tasks, although some gene…
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…
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…
StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision
Yang Hong, Juyong Zhang, Boyi Jiang +3
In this paper, we propose StereoPIFu, which integrates the geometric constraints of stereo vision with implicit function representation of PIFu, to recover the 3D shape of the clot…
AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis
Yudong Guo, Keyu Chen, Sen Liang +3
Generating high-fidelity talking head video by fitting with the input audio sequence is a challenging problem that receives considerable attentions recently. In this paper, we addr…
Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model
Hongrui Cai, Yudong Guo, Zhuang Peng +1
Caricature is an artistic abstraction of the human face by distorting or exaggerating certain facial features, while still retains a likeness with the given face. Due to the large…
Lightweight Photometric Stereo for Facial Details Recovery
Xueying Wang, Yudong Guo, Bailin Deng +1
Recently, 3D face reconstruction from a single image has achieved great success with the help of deep learning and shape prior knowledge, but they often fail to produce accurate ge…
3D Magic Mirror: Automatic Video to 3D Caricature Translation
Yudong Guo, Luo Jiang, Lin Cai +1
Caricature is an abstraction of a real person which distorts or exaggerates certain features, but still retains a likeness. While most existing works focus on 3D caricature reconst…
3D Face From X: Learning Face Shape from Diverse Sources
Yudong Guo, Lin Cai, Juyong Zhang
We present a novel method to jointly learn a 3D face parametric model and 3D face reconstruction from diverse sources. Previous methods usually learn 3D face modeling from one kind…
Deep Face Feature for Face Alignment
Boyi Jiang, Juyong Zhang, Bailin Deng +2
In this paper, we present a deep learning based image feature extraction method designed specifically for face images. To train the feature extraction model, we construct a large s…
CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images
Yudong Guo, Juyong Zhang, Jianfei Cai +2
With the powerfulness of convolution neural networks (CNN), CNN based face reconstruction has recently shown promising performance in reconstructing detailed face shape from 2D fac…