We study how to synthesize novel views of human body from a single image. Our new pipeline is a composition of a shape estimation network and an image generation network, and at the interface a perspective transformation is applied to generate a forward flow for pixel value transportation.
CVPR 2018    Project Page

We propose a very convenient system of scanning a human body using only a conventional video camera without the aid of special sensor or controlled illumination. The point cloud reinforcement is proposed to detect and adjust the conflict point data for the slender and shaky body part, which achieves reasonable and plausible mesh reconstruction.
TCSVT 2017    Project Page

Hi3D system automatically reconstructs high-quality 3D mesh model using single camera and a turntable. The system aims at modeling small-scale still object with low-cost hardware. Several refining algorithms are involved to make the end-to-end system robust and accurate.
Project Page

The system capture the multi-view images of the object to reconstruct the high quality 3D mesh model. We make modifications according to different kind of objects, utilizing various prior to formulate a robust and accurate 3D modeling scheme. The method aiming at human face efficiently recover the 3D face model with detailed geometry, and has been used in movie and TV industries.
Project Page