Instant neural graphics primitives: lightning fast NeRF and more
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Updated
Apr 6, 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.
1. State-of-the-art, simple, fast unbounded / large-scale NeRFs. 2. Weekly classified NeRF literature.
A Unified Framework for Surface Reconstruction
A General NeRF Acceleration Toolbox in PyTorch.
[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
Direct voxel grid optimization for fast radiance field reconstruction.
Point-NeRF: Point-based Neural Radiance Fields
Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.
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