FastGS

FastGS is presented as a general acceleration framework engineered to enhance the training speed of 3D Gaussian Splatting. This tool is notable for its ability to achieve state-of-the-art results rapidly, often within 100 seconds, demonstrating significant speed improvements compared to other methods like DashGaussian and vanilla 3DGS.

The framework is designed to maintain high fidelity and comparable rendering quality alongside its accelerated training. It offers easy integration with various existing backbones, including Vanilla 3DGS, Scaffold-GS, and Mip-splatting. This versatility makes it suitable for a wide array of applications, such as dynamic scene reconstruction, surface reconstruction, sparse-view scenarios, large-scale environments, and Simultaneous Localization and Mapping (SLAM) tasks.

FastGS also emphasizes memory efficiency, requiring low GPU memory, which makes it accessible for a broader range of hardware configurations. Its multi-task readiness and performance across diverse applications highlight its utility for researchers and developers working with 3D scene representation and reconstruction.