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Occam’s LGS: A simple approach for Language Gaussian Splatting

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Occam's LGS: A Simple Approach for Language Gaussian Splatting

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This is the official implementation of "Occam's LGS: A simple approach for Language Gaussian Splatting".

Overview

Occam's LGS is a simple, training-free approach for Language-guided 3D Gaussian Splatting that achieves state-of-the-art results with a 100x speed improvement. Our method:

  • 🎯 Lifts 2D language features to 3D Gaussian Splats without complex modules or training
  • 🚀 Provides 100x faster optimization compared to existing methods
  • 🧩 Works with any feature dimension without compression
  • 🎨 Enables easy scene manipulation and object insertion

Key Features

  • Training-free global optimization approach
  • Direct reasoning in language feature space
  • Support for arbitrary language feature dimensionality
  • Fast processing time (~15s runtime)
  • Compatible with SAM+CLIP features
  • Includes tools for object insertion and scene manipulation

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Occam’s LGS: A simple approach for Language Gaussian Splatting

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