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

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