Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …

The advent of affordable consumer grade RGB‐D cameras has brought about a profound
advancement of visual scene reconstruction methods. Both computer graphics and …

We present Tensor4D, an efficient yet effective approach to dynamic scene modeling. The
key of our solution is an efficient 4D tensor decomposition method so that the dynamic scene …

Abstract Constructing photo-realistic Free-Viewpoint Videos (FVVs) of dynamic scenes from
multi-view videos remains a challenging endeavor. Despite the remarkable advancements …

It is extremely challenging to create an animatable clothed human avatar from RGB videos,
especially for loose clothes due to the difficulties in motion modeling. To address this …

Human volumetric capture is a long-standing topic in computer vision and computer
graphics. Although high-quality results can be achieved using sophisticated off-line systems …

Recent neural human representations can produce high-quality multi-view rendering but
require using dense multi-view inputs and costly training. They are hence largely limited to …

Implicit neural representations such as Neural Radiance Field (NeRF) have focused mainly
on modeling static objects captured under multi-view settings where real-time rendering can …

We have recently seen tremendous progress in photo-real human modeling and rendering.
Yet efficiently rendering realistic human performance and integrating it into the rasterization …

The success of the Neural Radiance Fields (NeRFs) for modeling and free-view rendering
static objects has inspired numerous attempts on dynamic scenes. Current techniques that …