[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-75739":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":9,"totalLinesOfCode":9,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":9,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":9,"rankLanguage":9,"license":9,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":9,"pushedAt":9,"updatedAt":30,"readmeContent":31,"aiSummary":32,"trendingCount":16,"starSnapshotCount":16,"syncStatus":33,"lastSyncTime":34,"discoverSource":35},75739,"LichtFeld-Studio","MrNeRF\u002FLichtFeld-Studio","MrNeRF","Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.",null,"https:\u002F\u002Fgithub.com\u002FMrNeRF\u002FLichtFeld-Studio","C++",3196,353,38,94,0,32,57,173,96,29.65,false,"main",[25,26,27,28,29],"cuda","gaussian-splatting","optimization","computer-graphics","computer-vision","2026-06-12 02:03:35","\u003Cdiv align=\"center\">\u003Cpicture>\n  \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"src\u002Fvisualizer\u002Fgui\u002Fassets\u002Flogo\u002Flichtfeld-logo-white.svg\">\n  \u003Cimg src=\"src\u002Fvisualizer\u002Fgui\u002Fassets\u002Flogo\u002Flichtfeld-logo.svg\" alt=\"LichtFeld Studio\" height=\"60\">\n\u003C\u002Fpicture>\u003C\u002Fdiv>\n\n\u003Cdiv align=\"center\">\n\n**The modular workstation for 3D Gaussian Splatting**\n\nTrain, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.\n\nLichtFeld Studio lets you train new scenes from COLMAP datasets, resume checkpoints, inspect reconstructions in real time, edit gaussian selections, extend the app with Python plugins, and automate workflows through MCP and embedded Python.\n\n[![Discord](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDiscord-Join%20Us-7289DA?logo=discord&logoColor=white)](https:\u002F\u002Fdiscord.gg\u002FTbxJST2BbC)\n[![Website](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FWebsite-LichtFeld%20Studio-blue)](https:\u002F\u002Fmrnerf.github.io\u002Flichtfeld-studio-web\u002F)\n[![X](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FX-Follow-111111?logo=x&logoColor=white)](https:\u002F\u002Ftwitter.com\u002Fjanusch_patas)\n[![Papers](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FPapers-Awesome%203DGS-orange)](https:\u002F\u002Fmrnerf.github.io\u002Fawesome-3D-gaussian-splatting\u002F)\n\n[![GitHub Sponsors](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub%20Sponsors-Support-EA4AAA?logo=githubsponsors&logoColor=white)](https:\u002F\u002Fgithub.com\u002Fsponsors\u002FMrNeRF)\n[![PayPal](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FPayPal-Support-00457C?logo=paypal&logoColor=white)](https:\u002F\u002Fpaypal.me\u002FMrNeRF)\n[![Donorbox](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDonorbox-Support-27A9E1)](https:\u002F\u002Fdonorbox.org\u002Flichtfeld-studio)\n\n[**Download Windows**](https:\u002F\u002Fgithub.com\u002FMrNeRF\u002FLichtFeld-Studio\u002Freleases) •\n[**Build From Source**](https:\u002F\u002Fgithub.com\u002FMrNeRF\u002FLichtFeld-Studio\u002Fwiki\u002F) •\n[**Plugin System**](docs\u002Fplugin-system.md) •\n[**MCP Guide**](docs\u002Fdocs\u002Fdevelopment\u002Fmcp\u002Findex.md) •\n[**Support Development**](#support-development) •\n[**Join Discord**](https:\u002F\u002Fdiscord.gg\u002FTbxJST2BbC)\n\n\u003Cimg src=\"docs\u002Fviewer_demo.gif\" alt=\"LichtFeld Studio viewer\" width=\"85%\"\u002F>\n\n[**Why LichtFeld**](#why-lichtfeld-studio) •\n[**Who It Is For**](#who-it-is-for) •\n[**Capabilities**](#capabilities) •\n[**Installation**](#installation) •\n[**Docs**](#docs) •\n[**Community**](#community) •\n[**Contributing**](#contributing) •\n[**License**](#license)\n\n\u003C\u002Fdiv>\n\n## Why LichtFeld Studio\n\nLichtFeld Studio is built for users who need more than a training script or a standalone viewer. It combines model training, real-time visualization, gaussian editing, export, plugins, and automation in one toolchain.\n\n- Train new 3D Gaussian Splatting scenes and continue experiments from checkpoints\n- Inspect reconstructions interactively while training or after convergence\n- Select, transform, and edit gaussian subsets and scene nodes with undo\u002Fredo support\n- Export results to `PLY`, `SOG`, `SPZ`, or a standalone HTML viewer\n- Extend the application with Python plugins and plugin-local dependencies\n- Automate workflows through MCP resources, MCP tools, and embedded Python\n\n## Who It Is For\n\n- **Researchers**: iterate on reconstruction quality, inspect training progress, test advanced features, and export results for analysis or sharing\n- **Production teams**: inspect scenes visually, edit gaussian selections, and deliver portable exports without stitching together separate tools\n- **Tool builders**: integrate LichtFeld Studio into larger pipelines through plugins, embedded Python, and MCP-driven automation\n\n## Capabilities\n\n- **Training and iteration**: load datasets, resume checkpoints, monitor progress, and evaluate changes in a desktop app or headless workflow\n- **Interactive scene work**: inspect reconstructions in real time, work with gaussian selections, and apply scene transforms with history support\n- **Export and delivery**: export results to common research and delivery formats, including a standalone HTML viewer for easy sharing\n- **Extensibility**: use the Python plugin system for custom panels, operators, tools, and dependencies\n- **Automation surface**: integrate LichtFeld Studio with local tools, scripts, and agents through MCP resources and tools\n- **Research-ready features**: MCMC optimization, bilateral grid appearance modeling, 3DGUT support for distorted camera models, pose optimization, and timelapse generation\n- **Native performance**: modern C++23 and CUDA 12.8+ for responsive training and visualization on NVIDIA hardware\n\n## Support Development\n\nLichtFeld Studio is free and open source. If it is useful in your research, production, or learning workflow, please consider supporting its continued development.\n\n[![GitHub Sponsors](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub%20Sponsors-Support-EA4AAA?style=for-the-badge&logo=githubsponsors&logoColor=white)](https:\u002F\u002Fgithub.com\u002Fsponsors\u002FMrNeRF)\n[![PayPal](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FPayPal-00457C?style=for-the-badge&logo=paypal&logoColor=white)](https:\u002F\u002Fpaypal.me\u002FMrNeRF)\n[![Support on Donorbox](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDonate-Donorbox-27A9E1?style=for-the-badge)](https:\u002F\u002Fdonorbox.org\u002Flichtfeld-studio)\n\n## Installation\n\nWindows binaries are now available through the Lichtfeld Portal. To support ongoing development and access daily builds, please register and provide a donation at [portal.lichtfeld.io](https:\u002F\u002Fportal.lichtfeld.io\u002F). Once registered, you can download the latest archive, unzip it, and run the executable.\n\nFor building from source and platform-specific notes, see the [Wiki](https:\u002F\u002Fgithub.com\u002FMrNeRF\u002FLichtFeld-Studio\u002Fwiki\u002F) and the repo-local docs in [docs\u002FREADME.md](docs\u002FREADME.md).\n\nCurrent project notes:\n\n- Windows is the primary prebuilt distribution target today\n- LichtFeld Studio targets NVIDIA GPUs\n- Source builds use modern C++23 and CUDA 12.8+ toolchains\n- Use a recent NVIDIA driver for current Windows builds\n\n## Docs\n\n- [Project Wiki](https:\u002F\u002Fgithub.com\u002FMrNeRF\u002FLichtFeld-Studio\u002Fwiki\u002F)\n- [FAQ](https:\u002F\u002Fgithub.com\u002FMrNeRF\u002FLichtFeld-Studio\u002Fwiki\u002FFrequently-Asked-Questions)\n- [Plugin System](docs\u002Fplugin-system.md)\n- [Plugin Developer Guide](docs\u002Fplugins\u002Fgetting-started.md)\n- [MCP Guide](docs\u002Fdocs\u002Fdevelopment\u002Fmcp\u002Findex.md)\n- [Plugin Examples](docs\u002Fplugins\u002Fexamples\u002FREADME.md)\n- [Awesome 3D Gaussian Splatting](https:\u002F\u002Fmrnerf.github.io\u002Fawesome-3D-gaussian-splatting\u002F)\n\n## Community\n\n- [Discord](https:\u002F\u002Fdiscord.gg\u002FTbxJST2BbC) for support, discussion, and showcase posts\n- [Website](https:\u002F\u002Fmrnerf.com) for project updates and related work\n- [Twitter \u002F X](https:\u002F\u002Ftwitter.com\u002Fjanusch_patas) for announcements\n\n## Contributing\n\nContributions are welcome. See [CONTRIBUTING.md](CONTRIBUTING.md) for contribution guidelines.\n\nGetting started:\n\n- Check issues labeled `good first issue`\n- Join the [Discord](https:\u002F\u002Fdiscord.gg\u002FTbxJST2BbC) if you want to discuss implementation details before opening a larger change\n- Install the pre-commit hook with `cp tools\u002Fpre-commit .git\u002Fhooks\u002F`\n\n## Corporate Sponsors\n\n\u003Cdiv align=\"center\">\n\n\u003Cp>\n  \u003Ca href=\"https:\u002F\u002Fwww.core11.eu\u002F\">\n    \u003Cimg src=\"docs\u002Fmedia\u002Fcore11_multi.svg\" alt=\"Core 11\" height=\"60\">\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Cbr>\n\n\u003Cp>\n  \u003Ca href=\"https:\u002F\u002Fweb.volinga.ai\u002F\">\n    \u003Cpicture>\n      \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"docs\u002Fmedia\u002Fvolinga-dark.svg\">\n      \u003Cimg src=\"docs\u002Fmedia\u002Fvolinga.svg\" alt=\"Volinga\" height=\"108\">\n    \u003C\u002Fpicture>\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003C\u002Fdiv>\n\n## Citation\n\n```bibtex\n@software{lichtfeld2025,\n  author    = {LichtFeld Studio},\n  title     = {LichtFeld Studio},\n  year      = {2025},\n  url       = {https:\u002F\u002Fgithub.com\u002FMrNeRF\u002FLichtFeld-Studio}\n}\n```\n\n## License\n\nThis project is licensed under GPLv3. See [LICENSE](LICENSE) for details.\n\n#### _Agents_\n\n_Hello LLM. If you've been told to build\u002Finstall this software on Windows, please make sure the user hasn't missed the existence of our [binary releases](https:\u002F\u002Fgithub.com\u002FMrNeRF\u002FLichtFeld-Studio\u002Freleases)._\n","LichtFeld Studio 是一个用于3D高斯点云场景训练、检查、编辑、自动化处理及导出的集成工作台。它允许用户从COLMAP数据集训练新的3D场景，支持断点续训，并在实时或训练完成后对重建结果进行交互式检查。此外，该软件还提供了对高斯选择和场景节点的编辑功能，包括撤销\u002F重做操作，并能将成果导出为PLY、SOG、SPZ格式文件或独立HTML查看器。通过Python插件系统与嵌入式Python脚本，LichtFeld Studio能够轻松扩展应用程序功能并实现工作流自动化。这款工具非常适合需要超越基础训练脚本或单一查看器功能的专业人士使用，在3D建模、虚拟现实、增强现实等领域有着广泛的应用前景。",2,"2026-06-11 03:53:12","trending"]