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    1. Home
    2. Computer Vision
    3. Awesome 3D Gaussian Splatting

    Awesome 3D Gaussian Splatting

    A curated list of papers, resources, and implementations for 3D Gaussian Splatting, a breakthrough technique for real-time neural rendering and 3D reconstruction from multi-view images.

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    Information

    Websitegithub.com
    PublishedMar 25, 2026

    Categories

    1 Item
    Computer Vision

    Tags

    3 Items
    #3d-reconstruction#neural-rendering#graphics

    Overview

    3D Gaussian Splatting is a novel technique for real-time rendering of 3D scenes learned from multiple images. This repository tracks the rapidly evolving research and implementations in this field.

    Features

    • Comprehensive collection of research papers on 3D Gaussian Splatting
    • Implementation code in various frameworks (PyTorch, CUDA)
    • Viewers and renderers for Unity, Unreal Engine, and Blender
    • Datasets and benchmarks for evaluation
    • Tutorials and guides for getting started

    Key Resources

    Original Research

    • 3D Gaussian Splatting for Real-Time Radiance Field Rendering (SIGGRAPH 2023)
    • Follow-up improvements and optimizations
    • Comparative studies with NeRF variants

    Implementations

    • Reference implementation in PyTorch
    • CUDA-optimized versions for real-time performance
    • WebGL implementations for browser-based viewing
    • Integration with game engines (Unity, Unreal)

    Applications

    • Real-time 3D scene reconstruction
    • Novel view synthesis
    • Virtual and augmented reality
    • Digital twins and metaverse content creation

    Pricing

    Free and open-source. Most implementations and papers are freely available for research and development purposes.