FastGS is a general acceleration framework that supercharges 3D Gaussian Splatting training while maintaining Comparable rendering quality. Our method stands out with:
⚡ Blazing Fast Training: Achieve SOTA results within 100 seconds. 3.32× faster than DashGaussian on Mip-NeRF 360 dataset. 15.45× acceleration vs vanilla 3DGS on Deep Blending.
⚡ High fidelity: Comparable rendering quality with SOTA methods
🎯 Easy Integration: Seamlessly integrates with various backbones (Vanilla 3DGS, Scaffold-GS, Mip-splatting, etc.)
🛠️ Multi-Task Ready: Proven effective across dynamic scenes, surface reconstruction, sparse-view, large-scale, and SLAM tasks
💡 Memory-Efficient: Low GPU Memory requirements make it accessible for various hardware setups
🔧 Easy Deployment: Simple post-training tool for feedforward 3DGS that works out-of-the-box
