| title: Learn2Splat | |
| emoji: 🪴 | |
| colorFrom: green | |
| colorTo: indigo | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: false | |
| short_description: Interactive demo of the Learn2Splat learned 3DGS optimizer | |
| # Learn2Splat — interactive demo | |
| A learned optimizer for 3D Gaussian Splatting. This Space SfM-initializes a | |
| COLMAP scene and refines the Gaussians live in your browser: pick the | |
| Learn2Splat optimizer (dense or sparse checkpoint) or a 3DGS Adam baseline, | |
| press **Start**, and watch the decoder render converge — then explore the | |
| finished splats in an interactive 3D viewer. | |
| Runs `demo.py --with-gui gradio` from the | |
| [Learn2Splat repository](https://github.com/autonomousvision/learn2splat); | |
| the optimization is rendered on the GPU and streamed by gradio, and the | |
| result loads into a `Model3D` splat viewer. | |
| > Requires GPU hardware. The demo holds two checkpoints in VRAM at once — | |
| > an A10G (24 GB) is recommended. | |