AI 3D
supersplat-viewer
A fast, friendly viewer for 3D Gaussian splat scenes.
★ 580 starsMIT
View guide →Feed-forward 3D from images: Gaussian splatting meets depth.
depthsplat is an open-source ai 3d project by cvg (cvg/depthsplat on GitHub). It has 1,256 GitHub stars and 78 forks, is released under the MIT license, and was last updated on GitHub on 1 April 2026.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Crisp, detailed 3D output from real data.
Optimized for practical generation times.
Implements peer-reviewed, published methods.
Uses your graphics card for heavy lifting.
Works with common 3D file formats.
Scriptable for pipelines and experiments.
Download the source and move into the project folder.
git clone https://github.com/cvg/depthsplat.git
cd depthsplatCreate a virtual environment and install the requirements.
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtStart the app or CLI and follow the README examples.
python main.py --helpIt is an open-source project at cvg/depthsplat with 78 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes. It is MIT licensed, so you can use it commercially with attribution.
For generation, yes — a CUDA-capable GPU is strongly recommended; viewing works on most machines.
Photos, multi-view images, or text prompts depending on the method.
Some entries are official paper implementations — expect research-grade docs, not polished apps.
A fast, friendly viewer for 3D Gaussian splat scenes.
Text-to-CAD: generate NURBS models from plain language.
Make humans and AI agents work as one team — open-source and self-hostable.
Real-time LiDAR-inertial-camera Gaussian Splatting SLAM.
Recurrent Gaussian Splatting from an ECCV spotlight paper.
ICLR 2024] Live Photorealistic Dynamic Scene Representation and Rendering.
The most-starred other AI 3D projects in the LibreAI catalogue — the realistic shortlist if depthsplat is not the right fit.
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Free and open — grab the source, star the repo, and start creating.