Apple's SHARP running in the browser via ONNX runtime web
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…
Apple's SHARP running in the browser via ONNX runtime web launched on May 3, 2026 with 185 votes, #139 of 20,538 launches that month and more than 99% of that year's launches.
In plain words
SHARP is Apple's single-image 3D Gaussian splatting model ported to run directly in web browsers using ONNX runtime and WebGPU. Users upload an image and receive a downloadable 3D point cloud file or live preview, with all processing happening locally on their machine. The tool is designed for developers and 3D enthusiasts who want to convert 2D images to 3D models without server uploads, though the initial load time is lengthy due to the large 2.4GB model file.
written from the facts on this page · September 2026
From the sources
Web playground to create Gaussian Splats using Apple's SHARP model - bring-shrubbery/ml-sharp-web
A browser-based Gaussian splat generator built on top of Apple SHARP . ✨ Apple's SHARP repository has separate licenses for code and model weights. If you use Apple's released SHARP checkpoint/weights, you must follow LICENSE_MODEL (research-use restrictions apply). bun install This also copies ONNX Runtime Web WASM assets into public/ort/ automatically. bun dev Open the URL shown by Vite (usually http://localhost:5173 ). Both files must be served together from the same folder (for example public/models/ ). For that reason, the app uses the hosted model by default. Uploading only the .onnx file directly in the browser usually will not work because the .onnx.data sidecar is separate.…from github.com
In the maker’s words, at launch
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…
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