Recent advances in 3D deep learning have shown that it is possible to train highly effective
deep models for 3D shape generation, directly from 2D images. This is particularly …

Reconstructing the 3D mesh of a general object from a single image is now possible thanks
to the latest advances of deep learning technologies. However, due to the nontrivial difficulty …

… Weikai Chen and Fan He designed the research study; Weikai Chen, Xi Chen, Qin Shi,
Angela Carley Chen, Fan He, and Tao Liu performed the experiments; Weikai Chen, Guoqing …

We introduce a new silhouette-based representation for modeling clothed human bodies
using deep generative models. Our method can reconstruct a complete and textured 3D model …

We present a deep learning-based volumetric capture approach for performance capture
using a passive and highly sparse multi-view capture system. We focus on a template-free, per-…

Accumulating evidence has suggested the significant potential of chemically modified
hydrogels in bone regeneration. Despite the progress of bioactive hydrogels with different …

Rendering bridges the gap between 2D vision and 3D scenes by simulating the physical
process of image formation. By inverting such renderer, one can think of a learning approach to …

… Hao Zhang, Shunli Wu, Weikai Chen contributed equally to this work. Hao Zhang, Shunli
Wu, Weikai Chen wrote manuscript and drafted figures of this review. Yan Hu, Zhen Geng …

We investigate a practical domain adaptation task, called source-free domain adaptation (SFUDA),
where the source pretrained model is adapted to the target domain without access to …

The degradability of hydrogels plays a pivotal role in bone regeneration, yet its precise
effects on the bone repair process remain poorly understood. Traditional studies have been …