Nerf: Neural radiance field in 3d vision, a comprehensive review
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 …
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 …
appearance of real-world environments and phenomena, building on theoretical models in …
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 …
Gaussianavatars: Photorealistic head avatars with rigged 3d gaussians
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 …
fully controllable in terms of expression pose and viewpoint. The core idea is a dynamic 3D …
Nerf-editing: geometry editing of neural radiance fields
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 …
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
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 …
Ref-nerf: Structured view-dependent appearance for neural radiance fields
Neural Radiance Fields (NeRF) is a popular view synthesis technique that represents a
scene as a continuous volumetric function, parameterized by multilayer perceptrons that …
scene as a continuous volumetric function, parameterized by multilayer perceptrons that …
Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields
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 …
term quest. The task is especially appealing when only a few or even single RGB cameras …
Generative neural articulated radiance fields
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 …
collections of single-view 2D photographs has very recently made much progress. These 3D …
Gart: Gaussian articulated template models
Abstract We introduce Gaussian Articulated Template Model (GART) an explicit efficient and
expressive representation for non-rigid articulated subject capturing and rendering from …
expressive representation for non-rigid articulated subject capturing and rendering from …