A neural radiance field (NeRF) is a method based on deep learning for reconstructing a three-dimensional representation of a scene from two-dimensional images. The NeRF model …

图中的 Image Plane 就是我们最后想得到图, 我们就是要用 NeRF 找到 Image Plane 上面每个 Pixel 的 RGB. 怎么找呢? 那就是利用图中的那个箭头 (就是我们说的 Ray), 先用 NeRF 找到 箭 …

Aug 6, 2022 · The goal of NERF is to render high-quality images conditioned on the pose of the observer (the camera). NeRF is an example of a neural rendering technique- we explicitly …

Nov 25, 2022 · Explore the basic idea behind neural fields, as well as the two most promising architectures (Neural Radiance Fields (NeRF) and Instant Neural Graphics Primitives)

Neural Sparse Voxel Fields (NSVF) is a NeRF that can skip any empty pixels during its rendering phase, which increases rendering speed. This technique learns pixel structures in network …

May 12, 2022 · We present RapNeRF (RAy Priors) as a solution. Our insight is that the inherent appearances of a 3D surface's arbitrary visible projections should be consistent. We thus …

Point-NeRF uses neural 3D point clouds, with associated neural features, to model a radiance field. Point-NeRF can be rendered efficiently by aggregating neural point features near scene …

Here is an overview pipeline for NeRF, we will walk through each component in this guide. NeRFs are a volumetric representation encoded into a neural network. They are not 3D meshes and …

We describe how to effectively optimize neural radiance fields to render photorealistic novel views of scenes with complicated geometry and appearance, and demonstrate results that …

Apr 22, 2021 · Neural Radiance Field or NeRF is a method for generating novel views of complex scenes. NeRF takes a set of input images of a scene and renders the complete scene by …