README.md

metadata

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 splats converge.

Runs demo.py --with-gui client from the Learn2Splat repository; the splats are drawn by viser's in-browser WebGL renderer.

Requires GPU hardware. The demo holds two checkpoints in VRAM at once — an A10G (24 GB) is recommended.