gaussian-splatting

工具介绍

"3D高斯平板用于实时辐射场渲染"的原始参考执行

核心特点

• •A PyTorch-based optimizer to produce a 3D Gaussian model from SfM inputs
• •A network viewer that allows to connect to and visualize the optimization process
• •An OpenGL-based real-time viewer to render trained models in real-time.
• •A script to help you turn your own images into optimization-ready SfM data sets
• •CUDA-ready GPU with Compute Capability 7.0+
• •24 GB VRAM (to train to paper evaluation quality)
• •Please see FAQ for smaller VRAM configurations
• •Conda (recommended for easy setup)
• •C++ Compiler for PyTorch extensions (we used Visual Studio 2019 for Windows)
• •CUDA SDK 11 for PyTorch extensions, install *after* Visual Studio (we used 11.8, known issues with 11.6)