44 citations · 85 across the 15 of their papers we have counts for
13 papers · 1 filter
ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces
Qianyi Wu, Kaisiyuan Wang, Kejie Li +2
In recent years, neural implicit surface reconstruction has emerged as a popular paradigm for multi-view 3D reconstruction. Unlike traditional multi-view stereo approaches, the neu…
ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing
Daxuan Ren, Jianmin Zheng, Jianfei Cai +2
Sketch-and-extrude is a common and intuitive modeling process in computer aided design. This paper studies the problem of learning the shape given in the form of point clouds by in…
Object-Compositional Neural Implicit Surfaces
Qianyi Wu, Xian Liu, Yuedong Chen +4
The neural implicit representation has shown its effectiveness in novel view synthesis and high-quality 3D reconstruction from multi-view images. However, most approaches focus on…
CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing
Daxuan Ren, Jianmin Zheng, Jianfei Cai +8
Generating an interpretable and compact representation of 3D shapes from point clouds is an important and challenging problem. This paper presents CSG-Stump Net, an unsupervised en…
Modeling Caricature Expressions by 3D Blendshape and Dynamic Texture
Keyu Chen, Jianmin Zheng, Jianfei Cai +1
The problem of deforming an artist-drawn caricature according to a given normal face expression is of interest in applications such as social media, animation and entertainment. Th…
Facial Expression Retargeting from Human to Avatar Made Easy
Juyong Zhang, Keyu Chen, Jianmin Zheng
Facial expression retargeting from humans to virtual characters is a useful technique in computer graphics and animation. Traditional methods use markers or blendshapes to construc…
Recovering Facial Reflectance and Geometry from Multi-view Images
Guoxian Song, Jianmin Zheng, Jianfei Cai +1
While the problem of estimating shapes and diffuse reflectances of human faces from images has been extensively studied, there is relatively less work done on recovering the specul…
Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network
Boyi Jiang, Juyong Zhang, Jianfei Cai +1
Human bodies exhibit various shapes for different identities or poses, but the body shape has certain similarities in structure and thus can be embedded in a low-dimensional space.…
Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos
Haofei Xu, Jianmin Zheng, Jianfei Cai +1
While learning based depth estimation from images/videos has achieved substantial progress, there still exist intrinsic limitations. Supervised methods are limited by a small amoun…
Real-time 3D Face-Eye Performance Capture of a Person Wearing VR Headset
Guoxian Song, Jianfei Cai, Tat-Jen Cham +3
Teleconference or telepresence based on virtual reality (VR) headmount display (HMD) device is a very interesting and promising application since HMD can provide immersive feelings…
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…
Alive Caricature from 2D to 3D
Qianyi Wu, Juyong Zhang, Yu-Kun Lai +2
Caricature is an art form that expresses subjects in abstract, simple and exaggerated view. While many caricatures are 2D images, this paper presents an algorithm for creating expr…
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…