Open-DiffusionGS
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025)
Generate 3D objects from single images and export them as meshes in about six seconds.
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Open-DiffusionGS has 855 stars on GitHub. It has been forked 45 times. Open-DiffusionGS is written mainly in Python. It has been in active development since 2024. Open-DiffusionGS is available under the MIT license. Its main topics are 3d-diffusion-models, 3d-gaussian-splatting, 3d-generation, 3d-graphics.
What is Open-DiffusionGS?
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025)
Is Open-DiffusionGS open source?
Open-DiffusionGS is an open-source project. It is released under the MIT license.
Is Open-DiffusionGS free?
Yes. Open-DiffusionGS is free and open source — you can use, modify and self-host it.
What license does Open-DiffusionGS use?
Open-DiffusionGS is available under the MIT license.
What language is Open-DiffusionGS written in?
Open-DiffusionGS is written mainly in Python.
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