metadata
pipeline_tag: image-to-3d
library_name: fastgs
language:
- en
license: mit
base_model: fastgs/base
big_model: fastgs/Big
tags:
- trianing acceleration
- 3DGS
- 3D Gaussian splatting
- Novel view synthesis
FastGS: Training 3D Gaussian Splatting in 100 Seconds
🚀 What Makes FastGS Special?
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