Project Title
gaussian-splatting — Real-Time Radiance Field Rendering with 3D Gaussians
Overview
The gaussian-splatting project is an original reference implementation for "3D Gaussian Splatting for Real-Time Radiance Field Rendering." It introduces a novel approach to achieve state-of-the-art visual quality in novel-view synthesis while maintaining competitive training times and enabling high-quality real-time rendering at 1080p resolution.
Key Features
- 3D Gaussian representation for efficient scene optimization
- Interleaved optimization/density control of 3D Gaussians
- Fast visibility-aware rendering algorithm supporting anisotropic splatting
Use Cases
- Researchers and developers working on novel-view synthesis and real-time rendering
- Applications in virtual reality and augmented reality for high-quality scene rendering
- Use in computer graphics for optimizing rendering pipelines in complex scenes
Advantages
- Achieves real-time rendering speeds (≥ 30 fps) at 1080p resolution
- Provides pre-trained models and datasets for immediate use and further research
- Open-source, allowing for community contributions and improvements
Limitations / Considerations
- The project's complexity may require a steep learning curve for new users
- High computational requirements for training and rendering may limit its use in resource-constrained environments
- The project is in Python, which may not be the preferred language for all developers
Similar / Related Projects
- NeRF: A different approach to neural scene representation and rendering, known for its simplicity but slower rendering times compared to gaussian-splatting.
- Mip-NeRF: An alternative that uses a multi-resolution representation to achieve faster rendering, but may not match gaussian-splatting's real-time capabilities.
- Instant-NGP: Focuses on instant neural graphics primitives, offering a different take on real-time rendering that might be compared to gaussian-splatting's approach.
Basic Information
- GitHub: https://github.com/graphdeco-inria/gaussian-splatting
- Stars: 18,187
- License: Unknown
- Last Commit: 2025-08-20
📊 Project Information
- Project Name: gaussian-splatting
- GitHub URL: https://github.com/graphdeco-inria/gaussian-splatting
- Programming Language: Python
- ⭐ Stars: 18,187
- 🍴 Forks: 2,543
- 📅 Created: 2023-07-04
- 🔄 Last Updated: 2025-08-20
🏷️ Project Topics
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This article is automatically generated by AI based on GitHub project information and README content analysis