Existing methods for the 4D reconstruction of general, non-rigidly defor...
Volumetric scene representations enable photorealistic view synthesis fo...
The capture and animation of human hair are two of the major challenges ...
Photo-real digital human avatars are of enormous importance in graphics,...
We present Neural Pixel Composition (NPC), a novel approach for continuo...
Image-based volumetric avatars using pixel-aligned features promise
gene...
We present a novel neural implicit representation for articulated human
...
We present iSDF, a continual learning system for real-time signed distan...
Remote telepresence via next-generation mixed reality platforms can prov...
Capturing and rendering life-like hair is particularly challenging due t...
Neural radiance fields (NeRFs) produce state-of-the-art view synthesis
r...
Human performance capture is a highly important computer vision problem ...
We propose an efficient method for non-rigid surface tracking from monoc...
We propose a deep videorealistic 3D human character model displaying hig...
This paper presents a generic method for generating full facial 3D anima...
We propose a novel approach for 3D video synthesis that is able to repre...
Real-time rendering and animation of humans is a core function in games,...
While deep learning has reshaped the classical motion capture pipeline,
...
Acquisition and rendering of photo-realistic human heads is a highly
cha...
Human performance capture is a highly important computer vision problem ...
Synthesizing realistic videos of humans using neural networks has been a...
Synthesizing realistic videos of humans using neural networks has been a...
In this paper, we provide a detailed survey of 3D Morphable Face Models ...
We propose the first approach for the decomposition of a monocular color...
We present the first real-time human performance capture approach that
r...
We propose a method for generating (near) video-realistic animations of ...
We propose the first real-time approach for the egocentric estimation of...
We present the first end-to-end approach for real-time material estimati...