GAP-LAB-CUHK-SZ/gaustudio

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1762 stars · 101 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

GauStudio is a modular PyTorch framework for 3D Gaussian Splatting (3DGS) research and development, supporting novel view synthesis, 3D reconstruction, and surface reconstruction. It also ships curated COLMAP-format datasets with normal annotations and LoFTR-based point cloud initialization.

Use cases

• train and evaluate 3d gaussian splatting models
• novel view synthesis from multi-view images
• surface reconstruction from photos
• convert nerf synthetic datasets to colmap format
• research on 3dgs methods with a modular codebase
• reconstruct indoor scenes with normal annotations

When to choose

• you need a modular, extensible framework for 3DGS research
• you want ready-to-use COLMAP-format benchmark datasets
• you need GPU-accelerated 3D reconstruction with PyTorch

When to avoid

• you need a polished end-user 3D scanning application
• you work on Windows without troubleshooting tolerance
• you lack a CUDA-capable NVIDIA GPU with at least 6GB VRAM

Facets

framework · maturity active

machine-learning graphics simulation image-processing data-science computer-vision graphics machine-learning deep-learning python cross-platform 3d-gaussian-splatting 3dgs nerf 3d-reconstruction surface-reconstruction pytorch multi-view-reconstruction colmap linux gpu

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