ziangcao0312/PhysX-3D
PhysX: Physical-Grounded 3D Asset Generation (NeurIPS 2025, Spotlight)
- Stars
- 395
- Forks
- 20
- Open issues
- 3
- Last push
- 10mo ago
About PhysX-3D
PhysX-3D is a free, open-source machine learning tool by ziangcao0312, written mainly in Jupyter Notebook. PhysX: Physical-Grounded 3D Asset Generation (NeurIPS 2025, Spotlight). It has 395 GitHub stars and 20 forks, and was last updated 10mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- Jupyter Notebook
- Stars
- 395
- Last update
- 10mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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PhysX-3D FAQ
Is PhysX-3D free?
Yes. PhysX-3D is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does PhysX-3D run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does PhysX-3D need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is PhysX-3D still maintained?
It was last updated 10mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to PhysX-3D?
Similar free, open-source tools include Hunyuan3D-2, TRELLIS, PartCrafter, Open-DiffusionGS.