Jumpat/SegAnyGAussians
The official implementation of Segment Any 3D GAussians (AAAI-25)
- Stars
- 1.0k
- Forks
- 79
- Open issues
- 73
- Last push
- 2mo ago
About SegAnyGAussians
SegAnyGAussians is a free, open-source computer vision tool by Jumpat, written mainly in Jupyter Notebook. The official implementation of Segment Any 3D GAussians (AAAI-25). It has 1.0k GitHub stars and 79 forks, and was last updated 2mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Jupyter Notebook
- Stars
- 1,002
- Last update
- 2mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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SegAnyGAussians FAQ
Is SegAnyGAussians free?
Yes. SegAnyGAussians is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does SegAnyGAussians run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does SegAnyGAussians need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is SegAnyGAussians still maintained?
It was last updated 2mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to SegAnyGAussians?
Similar free, open-source tools include ultralytics, vision, ISAT_with_segment_anything, supervision.