Virtual Reality (VR) is becoming an increasingly important tool for the research, the
communication and the popularization of cultural heritage. A great deal of 3D interactive …

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 …

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 …

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 present ARCH++, an image-based method to reconstruct 3D avatars with arbitrary
clothing styles. Our reconstructed avatars are animation-ready and highly realistic, in both …

Abstract We introduce Pixel-aligned Implicit Function (PIFu), an implicit representation that
locally aligns pixels of 2D images with the global context of their corresponding 3D object …

In this paper, we propose ARCH (Animatable Reconstruction of Clothed Humans), a novel
end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans …

Modeling 3D humans accurately and robustly from a single image is very challenging, and
the key for such an ill-posed problem is the 3D representation of the human models. To …

Generating free-viewpoint videos is critical for immersive VR/AR experience, but recent
neural advances still lack the editing ability to manipulate the visual perception for large …