LibreAI / AI 3D / GaussianOcc
// ai-3d ยท GANWANSHUI/GaussianOcc

GaussianOcc

(ICCV 2025) GaussianOcc: Entirely Self-supervised and Efficient 3D Occupancy

๐Ÿ’Ž Hidden gemโ˜… 385 starsโ‘‚ 21 forksApache-2.0updated 2026-02
โ–ฆ visual โ€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

GaussianOcc is an open-source ai 3d project by GANWANSHUI (GANWANSHUI/GaussianOcc on GitHub). It has 385 GitHub stars and 21 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 17 February 2026.

GitHub stars
385
Forks
21
License
Apache-2.0
Last updated on GitHub
17 February 2026
Category
AI 3D
Listing
Hidden gem โ€” a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Get the code

    Clone GANWANSHUI/GaussianOcc and move into the project folder.

  2. Install dependencies

    Install the Python requirements with pip โ€” a virtual environment keeps things clean.

  3. Prepare inputs

    Gather the images or data the model expects.

  4. Run reconstruction

    Launch training or inference and inspect the 3D output.

// features

Why people love it

Written in Python

Python codebase โ€” approachable for contributors.

Apache-2.0

Apache-2.0 licensed โ€” permissive, with a patent grant.

Open development

Public repo โ€” issues and pull requests are welcome.

Community-driven

Fork it and make it your own.

Growing project

A growing community of users and contributors.

Source available

Read, audit, and learn from the full source.

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// run it

Run it yourself

  1. Step 1 โ€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/GANWANSHUI/GaussianOcc.git
    cd GaussianOcc
  2. Step 2 โ€” Install dependencies

    Set up what the project needs to run.

    pip install -r requirements.txt
  3. Step 3 โ€” Run it

    Start the app โ€” the README has the exact command and flags.

    python main.py  # entrypoint varies โ€” check the README
// use cases

What you can build

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// faq

Questions, answered

What license is it under?

Apache-2.0 licensed โ€” permissive, with a patent grant.

How hard is it to install?

Clone the repo and pip-install the requirements โ€” the README covers the exact steps.

Where do I get help?

The GitHub repo's issues and discussions are the main support channel.

Is the project still maintained?

Last pushed 2026-02-17 with 21 forks. Skim recent commits to gauge momentum before relying on it.

Can I contribute?

Yes โ€” it is open source, so issues and pull requests are welcome.

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// alternatives

Alternatives in AI 3D

The most-starred other AI 3D projects in the LibreAI catalogue โ€” the realistic shortlist if GaussianOcc is not the right fit.

Get GaussianOcc

Free and open โ€” grab the source, star the repo, and start creating.