Mastodawn

Join developers and integrators from around the world at the 2026 Cesium Developer Conference in Philadelphia, where the community comes together to shape the future of open geospatial technologies.

Khronos' glTF and work in Gaussian Splatting will be featured prevalently throughout the conference, especially in the Product Roadmaps and Advanced Technologies Track. Explore Cesium's event page for more information: https://cesium.com/events/cesium-developer-conference/
#glTF #gaussian #splats #3dtiles #digitaltwins

Rafagas Links May 25

Lightweight urban modeling and rendering with proxy buildings and Gaussian residuals for efficient and high-quality urban scene recreation #gaussian

https://github.com/LiYukeee/CityGo

GitHub - LiYukeee/CityGo: [SIGGRAPH Asia 2025] CityGo: Lightweight Urban Modeling and Rendering with Proxy Buildings and Residual Gaussians

[SIGGRAPH Asia 2025] CityGo: Lightweight Urban Modeling and Rendering with Proxy Buildings and Residual Gaussians - LiYukeee/CityGo

GitHub

Fabrizio Musacchio May 21

New preprint by Moss et al. on a new paradigm for #Gaussian Process #regression where you can condition on (almost) anything, even #LLM prompts.

📝 https://arxiv.org/abs/2605.21041

#MachineLearning #GaussianProcessRegression #GPR #GaussianProcesses

Hacker News May 19

Gaussian Splat of a Strawberry

https://superspl.at/scene/84df8849

#HackerNews #Gaussian #Splat #Strawberry #Art #Creative #Coding #Visuals

Strawberry - SuperSplat

Shot from 90 perspectives, 88 focus stacked images each. Nikon Z8, full frame, f/7.1, exposure 1/160, ISO 100, Laowa 180mm macro lens, with LED light and blu...

SuperSplat

OnuncuSoru May 13

1. Plot of the #theta function associated with the #gaussian lattice. x²+y² is the norm of the gaussian integer x+yi and this theta function is counting the integer solutions to the equation x²+y²=n
#mathematics #algebra #NumberTheory

GripNews May 3

🌕 GitHub - ml-sharp-web：基於 Apple ml-sharp 模型的網頁版高斯潑濺（Gaussian Splat）生成器
➤ 將 Apple 尖端 3D 重建技術搬進瀏覽器
✤ https://github.com/bring-shrubbery/ml-sharp-web
這個專案為 Apple 的 SHARP (Scalable Hierarchical Architecture for Reconstruction and Point-cloud-rendering) 模型提供了一個瀏覽器端的運行環境。它將原本複雜的 3D 場景重建工作轉移至客戶端，使用者僅需上傳一張圖片，即可在網頁上直接生成高斯潑濺（Gaussian Splats）預覽，並下載為 `.ply` 格式檔案。該工具整合了 React、TypeScript 與 ONNX Runtime Web，實現了在瀏覽器內進行高效的機器學習推論與 3D 渲染，為研究人員與開發者提供了一個輕量且直觀的實驗平臺
#電腦視覺 #人工智慧 #Web 開發 #Apple SHARP #Gaussian Splats