minghanqin/LangSplat

Health v2 · maintenance only

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Adoption not part of the score

1077 stars · 116 forks observed · 2026-08-28

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

Official implementation of LangSplat, a CVPR 2024 Highlight paper that constructs a 3D language field using 3D Gaussian Splatting with CLIP-distilled language features. It enables precise, fast open-vocabulary language queries in 3D scenes, outperforming NeRF-based methods like LERF.

Use cases

• query 3D scenes with open-vocabulary natural language
• open-vocabulary 3D object localization
• 3D semantic segmentation with language features
• render language fields faster than NeRF-based LERF
• reconstruct 3D language fields from multi-view images
• research on 3D Gaussian splatting with language grounding

When to choose

• you need fast open-vocabulary querying of 3D scenes
• you want to reproduce or extend CVPR 2024 3D language field research
• you need 3D object localization or segmentation driven by text queries
• you want a faster alternative to LERF for 3D language fields

When to avoid

• you need a production-ready application with a polished UI
• you lack a CUDA-capable GPU or multi-view scene captures
• you need a permissively licensed library for commercial embedding
• you only need 2D image-language retrieval without 3D reconstruction

Facets

library · maturity active

machine-learning computer-vision image-processing nlp graphics search-engine computer-vision artificial-intelligence graphics python 3d-gaussian-splatting 3d-language-field open-vocabulary-queries clip-features sam nerf-alternative research-code cvpr-2024 natural-language-processing linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="minghanqin/LangSplat")