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View guide →DiffSplat, in Python — built for [iclr 2025] official implementation of "diffsplat: repu.
DiffSplat is an open-source ai 3d project by chenguolin (chenguolin/DiffSplat on GitHub). It has 546 GitHub stars and 35 forks, is released under the MIT license, and was last updated on GitHub on 19 March 2026.
Fetch the source code onto your machine.
Set up the Python environment the project needs.
Copy the sample config or env file and adjust it.
Start the app from the source directory.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Issues and pull requests welcome on GitHub.
Hackable in a familiar, popular language.
No subscription or paywall for core features.
Audit exactly what the software does.
Get the source on your machine.
git clone https://github.com/chenguolin/DiffSplat.gitSet up Python dependencies.
cd DiffSplat && pip install -r requirements.txtLaunch the application.
cd DiffSplat && python main.pyIt [ICLR 2025] Official implementation of "DiffSplat: Repurposing Image Diffusion Models for Scalable 3D Gaussian Splat Generation", giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Python, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
A free, open mathematical knowledge base built for clarity.
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