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 …

Abstract We present Multi-Garment Network (MGN), a method to predict body shape and
clothing, layered on top of the SMPL model from a few frames (1-8) of a video. Several …

We propose DeepHuman, an image-guided volume-to-volume translation CNN for 3D
human reconstruction from a single RGB image. To reduce the ambiguities associated with …

We present" The Relightables", a volumetric capture system for photorealistic and high
quality relightable full-body performance capture. While significant progress has been made …

This paper describes how to obtain accurate 3D body models and texture of arbitrary people
from a single, monocular video in which a person is moving. Based on a parametric body …

Real-time, high-quality, 3D scanning of large-scale scenes is key to mixed reality and robotic
applications. However, scalability brings challenges of drift in pose estimation, introducing …

We present the first dense SLAM system capable of reconstructing non-rigidly deforming
scenes in real-time, by fusing together RGBD scans captured from commodity sensors. Our …

We present a novel approach for the reconstruction of dynamic geometric shapes using a
single hand-held consumer-grade RGB-D sensor at real-time rates. Our method builds up …

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 …

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 …