Nerf: Neural radiance field in 3d vision, a comprehensive review

K Gao, Y Gao, H He, D Lu, L Xu, J Li - arXiv preprint arXiv:2210.00379, 2022 - arxiv.org
Neural Radiance Field (NeRF), a new novel view synthesis with implicit scene
representation has taken the field of Computer Vision by storm. As a novel view synthesis …

Differentiable visual computing for inverse problems and machine learning

A Spielberg, F Zhong, K Rematas… - Nature Machine …, 2023 - nature.com
Modern 3D computer graphics technologies are able to reproduce the dynamics and
appearance of real-world environments and phenomena, building on theoretical models in …

Humannerf: Free-viewpoint rendering of moving people from monocular video

CY Weng, B Curless, PP Srinivasan… - Proceedings of the …, 2022 - openaccess.thecvf.com
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 …

Gaussianavatars: Photorealistic head avatars with rigged 3d gaussians

S Qian, T Kirschstein, L Schoneveld… - Proceedings of the …, 2024 - openaccess.thecvf.com
We introduce GaussianAvatars a new method to create photorealistic head avatars that are
fully controllable in terms of expression pose and viewpoint. The core idea is a dynamic 3D …

Nerf-editing: geometry editing of neural radiance fields

YJ Yuan, YT Sun, YK Lai, Y Ma… - Proceedings of the …, 2022 - openaccess.thecvf.com
Implicit neural rendering, especially Neural Radiance Field (NeRF), has shown great
potential in novel view synthesis of a scene. However, current NeRF-based methods cannot …

Animatable gaussians: Learning pose-dependent gaussian maps for high-fidelity human avatar modeling

Z Li, Z Zheng, L Wang, Y Liu - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
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 …

Ref-nerf: Structured view-dependent appearance for neural radiance fields

D Verbin, P Hedman, B Mildenhall… - 2022 IEEE/CVF …, 2022 - ieeexplore.ieee.org
Neural Radiance Fields (NeRF) is a popular view synthesis technique that represents a
scene as a continuous volumetric function, parameterized by multilayer perceptrons that …

Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields

L Song, A Chen, Z Li, Z Chen, L Chen… - … on Visualization and …, 2023 - ieeexplore.ieee.org
Visually exploring in a real-world 4D spatiotemporal space freely in VR has been a long-
term quest. The task is especially appealing when only a few or even single RGB cameras …

Generative neural articulated radiance fields

A Bergman, P Kellnhofer, W Yifan… - Advances in …, 2022 - proceedings.neurips.cc
Unsupervised learning of 3D-aware generative adversarial networks (GANs) using only
collections of single-view 2D photographs has very recently made much progress. These 3D …

Gart: Gaussian articulated template models

J Lei, Y Wang, G Pavlakos, L Liu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract We introduce Gaussian Articulated Template Model (GART) an explicit efficient and
expressive representation for non-rigid articulated subject capturing and rendering from …