taichi-dev/taichi-nerfs

Implementations of NeRF variants based on Taichi + PyTorch

41
/ 100
Emerging

This project helps you create a 3D digital scene from a video or a collection of images. It takes a standard video or a set of photos as input and generates a fully navigable 3D model that you can explore from any angle. This is ideal for 3D artists, game developers, virtual reality creators, or anyone looking to reconstruct real-world scenes digitally.

823 stars. No commits in the last 6 months.

Use this if you need to quickly generate detailed 3D models of objects or environments from standard video footage or image datasets, especially for real-time applications.

Not ideal if you don't have access to a powerful graphics card (like an RTX 3090) or if you need extremely precise architectural modeling rather than photorealistic scene reconstruction.

3D-reconstruction virtual-reality game-development digital-twin scene-rendering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

823

Forks

56

Language

Python

License

Apache-2.0

Last pushed

May 27, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/taichi-dev/taichi-nerfs"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.