This paper addresses the challenge of reconstructing an animatable human model from a
multi-view video. Some recent works have proposed to decompose a non-rigidly deforming …

Over the past few years, the applications of dual-quaternions have not only developed in
many different directions but has also evolved in exciting ways in several areas. As dual …

Real-time rendering of photorealistic and controllable human avatars stands as a
cornerstone in Computer Vision and Graphics. While recent advances in neural implicit …

This work addresses the problem of real-time rendering of photorealistic human body
avatars learned from multi-view videos. While the classical approaches to model and render …

Human performance capture is a highly important computer vision problem with many
applications in movie production and virtual/augmented reality. Many previous performance …

Accurate estimation of 3D human motion from monocular video requires modeling both
kinematics (body motion without physical forces) and dynamics (motion with physical …

We propose a deep videorealistic 3D human character model displaying highly realistic
shape, motion, and dynamic appearance learned in a new weakly supervised way from …

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 …

Building animatable 3D models is challenging due to the need for 3D scans, laborious
registration, and manual rigging. Recently, differentiable rendering provides a pathway to …

We present Habitat 3.0: a simulation platform for studying collaborative human-robot tasks in
home environments. Habitat 3.0 offers contributions across three dimensions:(1) Accurate …