activity
20182020
most citedFaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction

12 citations · 24 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2020

Speech2Video Synthesis with 3D Skeleton Regularization and Expressive Body Poses

Miao Liao, Sibo Zhang, Peng Wang +3

In this paper, we propose a novel approach to convert given speech audio to a photo-realistic speaking video of a specific person, where the output video has synchronized, realisti…

cs.CV20202 cited

Self-Supervised Human Depth Estimation from Monocular Videos

Feitong Tan, Hao Zhu, Zhaopeng Cui +3

Previous methods on estimating detailed human depth often require supervised training with `ground truth' depth data. This paper presents a self-supervised method that can be train…

cs.CV202012 cited

FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction

Haotian Yang, Hao Zhu, Yanru Wang +4

In this paper, we present a large-scale detailed 3D face dataset, FaceScape, and propose a novel algorithm that is able to predict elaborate riggable 3D face models from a single i…

math.DS2019

Dynamics of continuous maps induced on the space of probability measures

Hua Shao, Hao Zhu, Guanrong Chen

For a continuous self-map on a compact interval and the induced map on the space of probability measures, we obtain a sharp condition to guarantee…

cs.CV201910 cited

Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation

Hao Zhu, Xinxin Zuo, Sen Wang +2

This paper presents a novel framework to recover detailed human body shapes from a single image. It is a challenging task due to factors such as variations in human shapes, body po…

cs.CV2018

View Extrapolation of Human Body from a Single Image

Hao Zhu, Hao Su, Peng Wang +2

We study how to synthesize novel views of human body from a single image. Though recent deep learning based methods work well for rigid objects, they often fail on objects with lar…