instant-ngp VS awesome-NeRF

Compare instant-ngp vs awesome-NeRF and see what are their differences.

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instant-ngp awesome-NeRF
147 18
15,329 6,221
2.2% 2.4%
6.7 7.2
8 days ago 17 days ago
Cuda TeX
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

instant-ngp

Posts with mentions or reviews of instant-ngp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-04.

awesome-NeRF

Posts with mentions or reviews of awesome-NeRF. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-05.

What are some alternatives?

When comparing instant-ngp and awesome-NeRF you can also consider the following projects:

tiny-cuda-nn - Lightning fast C++/CUDA neural network framework

colmap - COLMAP - Structure-from-Motion and Multi-View Stereo

nerf-pytorch - A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

nerf - Code release for NeRF (Neural Radiance Fields)

TensoRF - [ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

gaugan - Photorealistic landscape drawings using the Nvidia SPADE model

svox2 - Plenoxels: Radiance Fields without Neural Networks

instant-meshes - Interactive field-aligned mesh generator

awesome-visual-slam - :books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

instant-ngp-Windows - Instant neural graphics primitives: lightning fast NeRF and more

sketch-to-art - 🖼 Create artwork from your casual sketch with GAN and style transfer