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 decoder render converge — then explore the finished splats in an interactive 3D viewer.
Runs demo.py --with-gui gradio from the
Learn2Splat repository;
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.