sjtuytc/UnboundedNeRFPytorch

State-of-the-art, simple, fast unbounded / large-scale NeRFs.

44
/ 100
Emerging

This project helps researchers and practitioners evaluate and apply state-of-the-art methods for creating 3D digital representations from a series of 2D images. It takes a collection of photographs of an object or scene from various angles and generates a detailed 3D model that can be viewed from any perspective. This is ideal for computer vision researchers, 3D artists, and virtual reality content creators who need to reconstruct complex, large-scale environments or objects.

1,325 stars. No commits in the last 6 months.

Use this if you need to generate high-quality, free-viewpoint 3D models of expansive real-world scenes or objects from a collection of standard photographs.

Not ideal if you are looking for a fully polished, production-ready tool for casual 3D scanning, as this is still an active research project.

3D-reconstruction computer-vision virtual-reality-content photogrammetry digital-twin
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 18 / 25

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Stars

1,325

Forks

113

Language

Python

License

MIT

Last pushed

Jun 11, 2024

Commits (30d)

0

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