3D virtual worlds and the metaverse: Current status and future possibilities
JDN Dionisio, WGB Iii, R Gilbert - ACM computing surveys (CSUR), 2013 - dl.acm.org
Moving from a set of independent virtual worlds to an integrated network of 3D virtual worlds
or Metaverse rests on progress in four areas: immersive realism, ubiquity of access and …
or Metaverse rests on progress in four areas: immersive realism, ubiquity of access and …
Animatable gaussians: Learning pose-dependent gaussian maps for high-fidelity human avatar modeling
Modeling animatable human avatars from RGB videos is a long-standing and challenging
problem. Recent works usually adopt MLP-based neural radiance fields (NeRF) to represent …
problem. Recent works usually adopt MLP-based neural radiance fields (NeRF) to represent …
Advances in neural rendering
Synthesizing photo‐realistic images and videos is at the heart of computer graphics and has
been the focus of decades of research. Traditionally, synthetic images of a scene are …
been the focus of decades of research. Traditionally, synthetic images of a scene are …
Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans
This paper addresses the challenge of novel view synthesis for a human performer from a
very sparse set of camera views. Some recent works have shown that learning implicit …
very sparse set of camera views. Some recent works have shown that learning implicit …
Structured local radiance fields for human avatar modeling
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 …
especially for loose clothes due to the difficulties in motion modeling. To address this …
Avatarrex: Real-time expressive full-body avatars
We present AvatarReX, a new method for learning NeRF-based full-body avatars from video
data. The learnt avatar not only provides expressive control of the body, hands and the face …
data. The learnt avatar not only provides expressive control of the body, hands and the face …
Pose-ndf: Modeling human pose manifolds with neural distance fields
We present Pose-NDF, a continuous model for plausible human poses based on neural
distance fields (NDFs). Pose or motion priors are important for generating realistic new …
distance fields (NDFs). Pose or motion priors are important for generating realistic new …
Neural human performer: Learning generalizable radiance fields for human performance rendering
In this paper, we aim at synthesizing a free-viewpoint video of an arbitrary human
performance using sparse multi-view cameras. Recently, several works have addressed this …
performance using sparse multi-view cameras. Recently, several works have addressed this …
Learning to dress 3d people in generative clothing
Three-dimensional human body models are widely used in the analysis of human pose and
motion. Existing models, however, are learned from minimally-clothed 3D scans and thus do …
motion. Existing models, however, are learned from minimally-clothed 3D scans and thus do …
Neural-gif: Neural generalized implicit functions for animating people in clothing
Abstract We present Neural Generalized Implicit Functions (Neural-GIF), to animate people
in clothing as a function of the body pose. Given a sequence of scans of a subject in various …
in clothing as a function of the body pose. Given a sequence of scans of a subject in various …