Instant neural graphics primitives: lightning fast NeRF and more
-
Updated
Feb 13, 2023 - Cuda
Instant neural graphics primitives: lightning fast NeRF and more
Code release for NeRF (Neural Radiance Fields)
A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.
A collaboration friendly studio for NeRFs
A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF
Lightning fast C++/CUDA neural network framework
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.
A General NeRF Acceleration Toolbox in PyTorch.
[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
1. Non-official implementation of Block-NeRF and Mega-NeRF in Pytorch. 2. Train your large-scale NeRF in the wild. 3. Weekly classified NeRF literature.
Direct voxel grid optimization for fast radiance field reconstruction.
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".
Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.
Point-NeRF: Point-based Neural Radiance Fields
Add a description, image, and links to the nerf topic page so that developers can more easily learn about it.
To associate your repository with the nerf topic, visit your repo's landing page and select "manage topics."