activity
20102023
most cited3D Face Reconstruction with Geometry Details from a Single Image

164 citations · 338 across the 22 of their papers we have counts for

collaborators

22 papers

math.OC2023★ 1 cited

An Optimized, Easy-to-use, Open-source GPU Solver for Large-scale Inverse Homogenization Problems

Di Zhang, Xiaoya Zhai, Ligang Liu +1

We propose a high-performance GPU solver for inverse homogenization problems to design high-resolution 3D microstructures. Central to our solver is a favorable combination of data…

cs.RO2022★ 10 cited

Asynchronous Collaborative Autoscanning with Mode Switching for Multi-Robot Scene Reconstruction

Junfu Guo, Changhao Li, Xi Xia +2

When conducting autonomous scanning for the online reconstruction of unknown indoor environments, robots have to be competent at exploring scene structure and reconstructing object…

cs.CV2021★ 8 cited

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…

cs.CV2021★ 4 cited

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…

cs.GR2021★ 1 cited

A Revisit of Shape Editing Techniques: from the Geometric to the Neural Viewpoint

Yu-Jie Yuan, Yu-Kun Lai, Tong Wu +2

3D shape editing is widely used in a range of applications such as movie production, computer games and computer aided design. It is also a popular research topic in computer graph…

cs.CG2021

Mesh Total Generalized Variation for Denoising

Zheng Liu, YanLei Li, Weina Wang +2

Total Generalized Variation (TGV) has recently been proven certainly successful in image processing for preserving sharp features as well as smooth transition variations. However,…

cs.LG2020★ 2 cited

Generative Flows with Matrix Exponential

Changyi Xiao, Ligang Liu

Generative flows models enjoy the properties of tractable exact likelihood and efficient sampling, which are composed of a sequence of invertible functions. In this paper, we incor…

cs.CV2020★ 6 cited

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…

cs.CV2020★ 16 cited

FPConv: Learning Local Flattening for Point Convolution

Yiqun Lin, Zizheng Yan, Haibin Huang +4

We introduce FPConv, a novel surface-style convolution operator designed for 3D point cloud analysis. Unlike previous methods, FPConv doesn't require transforming to intermediate r…

cs.GR2019

Learning-based Real-time Detection of Intrinsic Reflectional Symmetry

Yi-Ling Qiao, Lin Gao, Shu-Zhi Liu +3

Reflectional symmetry is ubiquitous in nature. While extrinsic reflectional symmetry can be easily parametrized and detected, intrinsic symmetry is much harder due to the high solu…

cs.GR2019★ 12 cited

Voting for Distortion Points in Geometric Processing

Shuangming Chai, Xiao-Ming Fu, Ligang Liu

Low isometric distortion is often required for mesh parameterizations. A configuration of some vertices, where the distortion is concentrated, provides a way to mitigate isometric…

cs.CV2019★ 9 cited

Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image

Xiaoguang Han, Zhaoxuan Zhang, Dong Du +7

We present a deep reinforcement learning method of progressive view inpainting for 3D point scene completion under volume guidance, achieving high-quality scene reconstruction from…

cs.GR2018★ 29 cited

Object-Aware Guidance for Autonomous Scene Reconstruction

Ligang Liu, Xi Xia, Han Sun +5

To carry out autonomous 3D scanning and online reconstruction of unknown indoor scenes, one has to find a balance between global exploration of the entire scene and local scanning…

cs.GR2018★ 70 cited

Anderson Acceleration for Geometry Optimization and Physics Simulation

Yue Peng, Bailin Deng, Juyong Zhang +3

Many computer graphics problems require computing geometric shapes subject to certain constraints. This often results in non-linear and non-convex optimization problems with global…

cs.GR2017★ 1 cited

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…

cs.CG2017★ 1 cited

Support-Free Hollowing for 3D Printing via Voronoi Diagram of Ellipses

Mokwon Lee, Qing Fang, Joonghyun Ryu +2

Recent work has demonstrated that the interior material layout of a 3D model can be designed to make a fabricated replica satisfy application-specific demands on its physical prope…

cs.CV2017★ 1 cited

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…

cs.CV2017★ 164 cited

3D Face Reconstruction with Geometry Details from a Single Image

Luo Jiang, Juyong Zhang, Bailin Deng +2

3D face reconstruction from a single image is a classical and challenging problem, with wide applications in many areas. Inspired by recent works in face animation from RGB-D or mo…

cs.CV2016

Fast color transfer from multiple images

Asad Khan, Luo Jiang, Wei Li +1

Color transfer between images uses the statistics information of image effectively. We present a novel approach of local color transfer between images based on the simple statistic…

cs.CV2016

Digital Makeup from Internet Images

Asad Khan, Muhammad Ahmad, Yudong Guo +1

We present a novel approach of color transfer between images by exploring their high-level semantic information. First, we set up a database which consists of the collection of dow…

cs.GR2016★ 3 cited

A Perceptual Aesthetics Measure for 3D Shapes

Kapil Dev, Manfred Lau, Ligang Liu

While the problem of image aesthetics has been well explored, the study of 3D shape aesthetics has focused on specific manually defined features. In this paper, we learn an aesthet…

cs.CG2010

On affine rigidity

Steven J. Gortler, Craig Gotsman, Ligang Liu +1

We define the notion of affine rigidity of a hypergraph and prove a variety of fundamental results for this notion. First, we show that affine rigidity can be determined by the ran…