130 citations · 154 across the 7 of their papers we have counts for
7 papers
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…
SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video
Boyi Jiang, Yang Hong, Hujun Bao +1
We propose SelfRecon, a clothed human body reconstruction method that combines implicit and explicit representations to recover space-time coherent geometries from a monocular self…
HeadNeRF: A Real-time NeRF-based Parametric Head Model
Yang Hong, Bo Peng, Haiyao Xiao +2
In this paper, we propose HeadNeRF, a novel NeRF-based parametric head model that integrates the neural radiance field to the parametric representation of the human head. It can re…
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…
BCNet: Learning Body and Cloth Shape from A Single Image
Boyi Jiang, Juyong Zhang, Yang Hong +3
In this paper, we consider the problem to automatically reconstruct garment and body shapes from a single near-front view RGB image. To this end, we propose a layered garment repre…
Static/Dynamic Filtering for Mesh Geometry
Juyong Zhang, Bailin Deng, Yang Hong +3
The joint bilateral filter, which enables feature-preserving signal smoothing according to the structural information from a guidance, has been applied for various tasks in geometr…