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Gsplat.js Javacscript Library Announced

Michael Rubloff

Michael Rubloff

Nov 6, 2023

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Gsplat.js
Gsplat.js

Dylan Ebert is making headlines once more, and with good reason. Hot on the heels of his 3DGS viewer debut on Hugging Face and his enlightening viral video on Gaussian Splatting, he has now introduced a powerful new JavaScript library, Gsplat.js, designed to revolutionize this complex technique.

Today he has unveiled a Javascript library for Gaussian Splatting, Gsplat.js, that comes with a host of features.

Ebert's Gsplat.js leverages WebAssembly, enabling it to run at near-native speed for maximum performance. This innovative library builds upon the foundational work of Aras Pranckevičius and Kevin Kwok, also known in the online community as AntiMatter15. By optimizing their initial work for WebAssembly, Ebert has created a tool that promises to deliver cutting-edge functionality to developers and designers alike.

A live demo of Gsplat.js is now available here, offering a firsthand experience of its capabilities. This interactive showcase not only demonstrates the library’s current features but also its user-friendly nature.

https://twitter.com/dylan_ebert_/status/1721570024714867017

In a generous move, Ebert has made Gsplat.js entirely open source, with an MIT License. This decision opens the doors for collaborative development, encouraging others to enhance and build upon this groundwork. You can explore and contribute to Gsplat.js on its GitHub page here.

But this is just the beginning. Ebert has hinted at an array of upcoming features, as showcased by RubenFro’s recent experiments, which include advanced lighting, editing, animation, visual effects, and a Gradio visual component. These developments are set to push the boundaries of what can be achieved with web-based graphics.

Each day seems to bring us closer to widespread adoption of sophisticated web graphics tools. As Gsplat.js continues to evolve, we will keep you updated on its journey towards setting a new standard in the realm of web-based visualization.

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