caiyuanhao1998/Open-DiffusionGS
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025)
- Stars
- 871
- Forks
- 46
- Open issues
- 0
- Last push
- 1mo ago
About Open-DiffusionGS
Open-DiffusionGS is a free, open-source machine learning tool by caiyuanhao1998, written mainly in Python. Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025). It has 871 GitHub stars and 46 forks, and was last updated 1mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 871
- Last update
- 1mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Open-DiffusionGS FAQ
Is Open-DiffusionGS free?
Yes. Open-DiffusionGS is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Open-DiffusionGS run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Open-DiffusionGS need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Open-DiffusionGS still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to Open-DiffusionGS?
Similar free, open-source tools include Hunyuan3D-2, pytorch-image-models, TRELLIS, PartCrafter.