Instant neural graphics primitives: lightning fast NeRF and more
-
Updated
Aug 10, 2023 - Cuda
Instant neural graphics primitives: lightning fast NeRF and more
Code release for NeRF (Neural Radiance Fields)
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + 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
A Unified Framework for Surface Reconstruction
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 is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.
[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
State-of-the-art, simple, fast unbounded / large-scale NeRFs.
A General NeRF Acceleration Toolbox in PyTorch.
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
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."