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May we present the winners of the 2018 Engineering for People Design Challenge!!! The University of Glasgow! Congratulations and well done, excellent work!

Congratulations to our student team at the Engineers Without Borders UK competition! Taking first prize for their mobile phone charging belt!!!

Excited to announce 🚀gsplat v1.0🚀: a ⏩efficient⏩ CUDA backend for 3D Gaussian Splatting! docs.gsplat.studio A drop-in replacement of the official impl. with: - Up to 2x faster training; - Up to 4x less GPU memory; - Render millions of GSs in real-time; - And more;

This is a continuous dev. on top of the amazing gsplat v0.1.x from Vickie Ye , from who I have learnt a lot! And a big thank to the guidance from Angjoo Kanazawa and Matthew tancik, as well as the help from Matias Turkulainen, Jianbo Ye, Justin Kerr, Brent Yi Zhuoyang Pan (unordered)

Finland goes to #ECCV2024. Had a good time discussing Gaussian Splatting papers in Milan and connecting with students and researchers. Also got to meet many people face-to-face after collaborating remotely for over a year.

Hi! If you found the gsplat library (docs.gsplat.studio) useful, we wrote a whitepaper with benchmarking, conventions, derivations, and new features (great effort led by Matias Turkulainen & Ruilong Li 🙌). arxiv.org/abs/2409.06765

Our AGS-Mesh framework adaptively integrates more reliable sensor depth data and predicted normal values into the training of Gaussian Splatting. We're excited to see our method contributing to such an amazing product! Explore more about AGS-Mesh: xuqianren.github.io/ags_mesh_websi…

There be extra amounts of snow in Lapland!