Non‐rigid registration computes an alignment between a source surface with a target
surface in a non‐rigid manner. In the past decade, with the advances in 3D sensing …

Recent advances in machine learning have led to increased interest in solving visual
computing problems using methods that employ coordinate‐based neural networks. These …

Current methods for learning realistic and animatable 3D clothed avatars need either posed
3D scans or 2D images with carefully controlled user poses. In contrast, our goal is to learn …

Motion capture from sparse inertial sensors has shown great potential compared to image-
based approaches since occlusions do not lead to a reduced tracking quality and the …

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 …

Modelling interactions between humans and objects in natural environments is central to
many applications including gaming, virtual and mixed reality, as well as human behavior …

We present FaceVerse, a fine-grained 3D Neural Face Model, which is built from hybrid East
Asian face datasets containing 60K fused RGB-D images and 2K high-fidelity 3D head scan …

Abstract 4D human sensing and modeling are fundamental tasks in vision and graphics with
numerous applications. With the advances of new sensors and algorithms, there is an …

We propose DiffuStereo, a novel system using only sparse cameras (8 in this work) for high-
quality 3D human reconstruction. At its core is a novel diffusion-based stereo module, which …

We have recently seen tremendous progress in the neural advances for photo-real human
modeling and rendering. However, it's still challenging to integrate them into an existing …