Dynibar: Neural dynamic image-based rendering
We address the problem of synthesizing novel views from a monocular video depicting a
complex dynamic scene. State-of-the-art methods based on temporally varying Neural …
complex dynamic scene. State-of-the-art methods based on temporally varying Neural …
Neus2: Fast learning of neural implicit surfaces for multi-view reconstruction
Recent methods for neural surface representation and rendering, for example NeuS, have
demonstrated the remarkably high-quality reconstruction of static scenes. However, the …
demonstrated the remarkably high-quality reconstruction of static scenes. However, the …
Humannerf: Free-viewpoint rendering of moving people from monocular video
We introduce a free-viewpoint rendering method--HumanNeRF--that works on a given
monocular video of a human performing complex body motions, eg a video from YouTube …
monocular video of a human performing complex body motions, eg a video from YouTube …
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 …
Monohuman: Animatable human neural field from monocular video
Animating virtual avatars with free-view control is crucial for various applications like virtual
reality and digital entertainment. Previous studies have attempted to utilize the …
reality and digital entertainment. Previous studies have attempted to utilize the …
H-nerf: Neural radiance fields for rendering and temporal reconstruction of humans in motion
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 …
Tava: Template-free animatable volumetric actors
Coordinate-based volumetric representations have the potential to generate photo-realistic
virtual avatars from images. However, virtual avatars need to be controllable and be …
virtual avatars from images. However, virtual avatars need to be controllable and be …
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 …
Pamir: Parametric model-conditioned implicit representation for image-based human reconstruction
Modeling 3D humans accurately and robustly from a single image is very challenging, and
the key for such an ill-posed problem is the 3D representation of the human models. To …
the key for such an ill-posed problem is the 3D representation of the human models. To …
Intergen: Diffusion-based multi-human motion generation under complex interactions
We have recently seen tremendous progress in diffusion advances for generating realistic
human motions. Yet, they largely disregard the multi-human interactions. In this paper, we …
human motions. Yet, they largely disregard the multi-human interactions. In this paper, we …