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Huge update: LichtFeld Studio v0.5.0 🚀 What’s new: • Embedded Python runtime + plugin system makes LFS fully hackable and extensible (isolated uv environments, hot reload) • Integrated plugin marketplace (6 plugins incl. Sharp4D, densification++) • MCP protocol integration (full parity with the user interaction layer) • Mesh rendering... + OpenMesh (Python) + Mesh2Splat • ImprovedGS+ (arxiv:2603.08661) • RmlUI-based GUI (HTML and CSS style workflows) • Undo/Redo with plugin integration, Sequencer, PPiSP Huge thanks to our corporate sponsor Core11 GmbH and to all contributors 🙏Enjoy! If you find it useful, consider supporting the project by donating to keep it evolving. Next up: better training quality and smoother editing workflowsshow more

MrNeRF

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19,277 次观看 • 2 个月前 •via X (Twitter)

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Finally, Apple's ML-Sharp will run directly in the upcoming Python scripting module in LichtFeld Studio as a plugin. This is not another ML-Sharp UI! The LichtFeld release 0.5 will transform LichtFeld Studio from mere splat software into a comprehensive platform. I'm developing a plugin system that will require uploading Python plugin scripts to GitHub with all dependencies specified. In LFS, you'll simply need to type the GitHub repo URL, and it will import the extension. Dependencies are managed by the integrated UV packet management. You'll be able to run Colmap, SAM3, Depth Models, and more directly in LFS, and even create your own UIs. This change will be transformative for the 3DGS software ecosystem. The custom LichtFeld tensor library is already fully interoperable with PyTorch via dlpack, bringing all the ML power into LFS if desired. I'm extremely hyped and excited about these upcoming features.

Finally, Apple's ML-Sharp will run directly in the upcoming Python scripting module in LichtFeld Studio as a plugin. This is not another ML-Sharp UI! The LichtFeld release 0.5 will transform LichtFeld Studio from mere splat software into a comprehensive platform. I'm developing a plugin system that will require uploading Python plugin scripts to GitHub with all dependencies specified. In LFS, you'll simply need to type the GitHub repo URL, and it will import the extension. Dependencies are managed by the integrated UV packet management. You'll be able to run Colmap, SAM3, Depth Models, and more directly in LFS, and even create your own UIs. This change will be transformative for the 3DGS software ecosystem. The custom LichtFeld tensor library is already fully interoperable with PyTorch via dlpack, bringing all the ML power into LFS if desired. I'm extremely hyped and excited about these upcoming features.

MrNeRF

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Vite's new plugin registry is live! 🎉 Browse Vite ⚡, Rolldown, and Rollup plugins from the Vite team and the community. Filter by version compatibility to find plugins that work with your setup. And if you are a maintainer, you can add your plugin easily too

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🚨 Want to quickly check if you've been compromised by the Axios supply-chain attack? We just shipped a free Claude skill for you. /plugin marketplace add cantinasec/plugins /plugin install cantinasec@cantinasec-plugins /reload-plugins /cantinasec:axios

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🎁 A New Year’s gift to the geospatial community: a brand-new QGIS plugin that unlocks access to 80+ petabytes of satellite imagery and geospatial datasets with zero coding required. In my first video of 2026, I’m excited to share what might be one of the most powerful QGIS plugins I’ve built so far. This plugin makes it incredibly easy to explore the official Earth Engine Data Catalog and the Awesome GEE Community Catalog directly inside QGIS. With just a few clicks, you can browse massive Earth Engine datasets, visualize them on the map, generate time series from ImageCollections, export data for further analysis, and even convert Earth Engine JavaScript workflows to Python, all without writing a single line of code. If you’ve ever wanted the power of Earth Engine inside QGIS without the learning curve, this plugin is for you. 👉 Download the plugin and follow the full step-by-step video tutorial to get started today: QGIS Plugin Page: GitHub Repository: Video Tutorial: Happy New Year, and I hope this tool helps you do more with geospatial data in 2026 🚀 #QGIS #geospatial #EarthEngine #Python #datascience

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