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The Fastest Way to Preview and Share 3D Models
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It's been closed source for a long time while I worked on it on and off as a hobby research project, but yesterday the repo was made public for the first time under the MPL 2.0 license. A feature reel showing its capabilities can be found here: https://ktstephano.github.io/rendering/stratusgfx/feature_re... A technical breakdown of a single frame can be found here: https://ktstephano.github.io/rendering/stratusgfx/frame_anal... It's still in a very beta state (bugs and instability expected), but I felt like it was a good time to make it…
2023 · github.com
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2022 · github.com
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2018 · dust3d.org
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Hi HN, author here. SHARP is Apple's recent single-image 3D Gaussian splatting model (https://arxiv.org/abs/2512.10685). Their reference code is PyTorch + a pretty heavy pipeline; I wanted to see if it could run in a browser with no server hop, so I exported the predictor to ONNX and ran it via onnxruntime-web with the WebGPU EP. What works: drop in an image, get a .ply you can download or preview live, all on your machine — your image never leaves the tab. The model is large (~2.4 GB sidecar) so first load is slow on a cold cache, but inference itself is a few seconds on…
May 2026 · github.com
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I've been going through Cem Yuksel's "Introduction to Computer Graphics" course and thought that writing a volume renderer would be a good way to test my knowledge. It is a common technique used to render 3D medical data. Works by ray marching a specific step size, reading a 3D texture (e.g. MRI data), and calculating opacity values. Code should be easy to get started with for anyone familiar with the JS ecosystem. Questions for the HN community: I spent 20-25% of the entire time just setting up the project and fighting issues with the JavaScript ecosystem. This experience has made me…
2024 · github.com
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