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+# Occam's LGS: A Simple Approach for Language Gaussian Splatting
+
+[![arXiv](https://img.shields.io/badge/arXiv-xxxx.xxxxx-b31b1b.svg)]()
+[![Project Page](https://img.shields.io/badge/Project-Page-blue)]()
+
+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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