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Work · June 3, 2026

RadianceKit

Turn photos into 3D Gaussian Splats on your Mac

RadianceKit launched on June 3, 2026 with 95 votes, #424 of 22,647 launches that month and more than 95% of that year's launches.

What it does

RadianceKit is the first native macOS app for 3D Gaussian Splatting. Drop in photos or video of any object or scene — it aligns the cameras, trains the model, and renders a photorealistic 3D reconstruction, all locally on your Mac's GPU. No Python, no CUDA, no cloud. Simple Mode for one-click results, Scene-Class Presets (Render/Outdoor/Indoor), and full Expert control. Export to 6 formats, orbit videos, and web viewers. M1+, $7.99 one-time, 3-day trial.

The all-in-one 3D Gaussian Splatting app for Mac. Import photos or video, train on the Apple Silicon GPU, edit and export — all in one native app. No cloud, no command-line tools.

Capture photos, camera poses, precise optics, and LiDAR depth on your iPhone. Then process the scene using RadianceKit on your Mac. Create photorealistic 3D scenes from photos and videos — powered entirely by Apple Metal GPU compute on your Mac. A fast, local alternative to cloud-based NeRF and photogrammetry tools. A complete Gaussian Splatting workflow on Mac — import, train, edit and export in a single app. No separate tools, no Python, no cloud. RadianceKit runs 3D Gaussian Splatting training directly on Apple Silicon using Metal. No cloud upload required — your data stays on your machine. Runs on every Apple Silicon Mac, from M1 to M5, for fast 3D reconstruction from photos. Simple…from radiancekit.de

Does a similar job

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  • RT
    Real-Time 3D Gaussian Splatting in WebGL2023 · antimatter15.com · ▲309
  • TA
    Turning a Gaussian Splat into a videogameApr 2026 · blog.playcanvas.com · ▲236
  • RT
    Real-Time Gaussian Splatting2025 · ▲144

    LiveSplat is a system for turning RGBD camera streams into Gaussian splat scenes in real-time. The system works by passing all the RGBD frames into a feed forward neural net that outputs the current scene as Gaussian splats. These splats are then rendered in real-time. I've put together a demo video at the link above.

  • Spark, An advanced 3D Gaussian Splatting renderer for Three.js2025 · sparkjs.dev · ▲377

    I'm the co-creator and maintainer of https://aframe.io/ and long time Web 3D graphics dev. Super excited about new techniques to author / render / represent 3D. Spark is a an open source library to easily integrate Gaussian splats in your THREE.js scene I worked with some friends and I hope you find useful. Looking forward to hearing what features / rendering techniques you would love to see next.

  • Gaussian Splat of a StrawberryMay 2026 · superspl.at · ▲530

    The Setup: https://i.imgur.com/o0hgybh.jpeg https://i.imgur.com/mcNiomp.jpeg https://i.imgur.com/vIjw6pc.jpeg https://i.imgur.com/nzOwmSC.jpeg

  • Apple's SHARP running in the browser via ONNX runtime webMay 2026 · github.com · ▲185

    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…

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