SuLvXiangXin/zipnerf-pytorch

Unofficial implementation of ZipNeRF

46
/ 100
Emerging

This project helps 3D artists, game developers, or architects create realistic 3D models and scenes from a collection of 2D images. You provide various photographs of an object or environment, and the system reconstructs a detailed, viewable 3D representation, allowing for new perspectives or virtual fly-throughs. It's for anyone needing to generate high-quality 3D assets or immersive visual experiences from real-world captures.

852 stars. No commits in the last 6 months.

Use this if you need to generate highly detailed and visually accurate 3D models or virtual environments from multiple photographs, especially for applications requiring photorealism and precise spatial representation.

Not ideal if you need a quick, rough 3D model with minimal detail, or if you only have a few images from limited viewpoints.

3D-reconstruction virtual-reality-content architectural-visualization game-asset-creation digital-twin-modeling
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

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Stars

852

Forks

94

Language

Python

License

Apache-2.0

Last pushed

Sep 24, 2024

Commits (30d)

0

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