GAP-LAB-CUHK-SZ/gaustudio
A modular PyTorch framework for 3D Gaussian Splatting, a neural rendering technique for real-time 3D scene reconstruction from multi-view images.
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Gaustudio is a modular framework supporting 3D Gaussian Splatting and related techniques like NeRF for 3D scene reconstruction and rendering. It provides tools for processing multi-view image datasets (including synthetic and real-world scenes) and implementing 3D reconstruction pipelines. The framework includes utilities for surface reconstruction and integrates with COLMAP for camera pose estimation.
Frequently asked
- What is GAP-LAB-CUHK-SZ/gaustudio?
- A modular PyTorch framework for 3D Gaussian Splatting, a neural rendering technique for real-time 3D scene reconstruction from multi-view images.
- Is gaustudio open source?
- Yes — GAP-LAB-CUHK-SZ/gaustudio is open source, released under the MIT license.
- What language is gaustudio written in?
- GAP-LAB-CUHK-SZ/gaustudio is primarily written in Jupyter Notebook.
- How popular is gaustudio?
- GAP-LAB-CUHK-SZ/gaustudio has 1.8k stars on GitHub.
- Where can I find gaustudio?
- GAP-LAB-CUHK-SZ/gaustudio is on GitHub at https://github.com/GAP-LAB-CUHK-SZ/gaustudio.