State of the art on neural rendering
Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
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 …
Animatable neural radiance fields for modeling dynamic human bodies
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 …
multi-view video. Some recent works have proposed to decompose a non-rigidly deforming …
Neural actor: Neural free-view synthesis of human actors with pose control
We propose Neural Actor (NA), a new method for high-quality synthesis of humans from
arbitrary viewpoints and under arbitrary controllable poses. Our method is developed upon …
arbitrary viewpoints and under arbitrary controllable poses. Our method is developed upon …
Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video
Abstract We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction and
novel view synthesis approach for general non-rigid dynamic scenes. Our approach takes …
novel view synthesis approach for general non-rigid dynamic scenes. Our approach takes …
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 …
Styleflow: Attribute-conditioned exploration of stylegan-generated images using conditional continuous normalizing flows
High-quality, diverse, and photorealistic images can now be generated by unconditional
GANs (eg, StyleGAN). However, limited options exist to control the generation process using …
GANs (eg, StyleGAN). However, limited options exist to control the generation process using …
Space-time neural irradiance fields for free-viewpoint video
We present a method that learns a spatiotemporal neural irradiance field for dynamic scenes
from a single video. Our learned representation enables free-viewpoint rendering of the …
from a single video. Our learned representation enables free-viewpoint rendering of the …
H-nerf: Neural radiance fields for rendering and temporal reconstruction of humans in motion
H Xu, T Alldieck… - Advances in Neural …, 2021 - proceedings.neurips.cc
We present neural radiance fields for rendering and temporal (4D) reconstruction of humans
in motion (H-NeRF), as captured by a sparse set of cameras or even from a monocular …
in motion (H-NeRF), as captured by a sparse set of cameras or even from a monocular …
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 …