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 …

Capturing the interactions between humans and their environment in 3D is important for
many applications in robotics, graphics, and vision. Recent works to reconstruct the 3D …

We contribute a new pipeline for live multi-view performance capture, generating temporally
coherent high-quality reconstructions in real-time. Our algorithm supports both incremental …

Marker-less 3D human motion capture from a single colour camera has seen significant
progress. However, it is a very challenging and severely ill-posed problem. In consequence …

Designing and simulating realistic clothing is challenging. Previous methods addressing the
capture of clothing from 3D scans have been limited to single garments and simple motions …

This paper presents a learning‐based clothing animation method for highly efficient virtual
try‐on simulation. Given a garment, we preprocess a rich database of physically‐based …

We present the first marker-less approach for temporally coherent 3D performance capture
of a human with general clothing from monocular video. Our approach reconstructs …

We present a novel method to generate accurate and realistic clothing deformation from real
data capture. Previous methods for realistic cloth modeling mainly rely on intensive …

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 present a combined hardware and software solution for markerless reconstruction of non-
rigidly deforming physical objects with arbitrary shape in real-time. Our system uses a single …