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Fun weekend project: using AI at Meta Sam3 to segment objects inside a SpAItial AI scene. Pipeline: -> Generate a world on SpAItial AI app and export as .ply -> PlayCanvas viewer to render splat + a uniform spatial grid over splat centers -> Capture frames + camera pose,...

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RO2⚡️

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21,008 Aufrufe • vor 13 Tagen •via X (Twitter)

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SuperSplat's voxel collision is a game changer for 3D Gaussian splat creators. Generate a highly accurate, inescapable voxel representation of any splat, regardless of quality. Generation is performed on the GPU, so it's super-fast. The voxel representation is tiny - only 418KB for this scene. And all this magic is free and open source, courtesy of the splat-transform library from PlayCanvas.
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SuperSplat's voxel collision is a game changer for 3D Gaussian splat creators. Generate a highly accurate, inescapable voxel representation of any splat, regardless of quality. Generation is performed on the GPU, so it's super-fast. The voxel representation is tiny - only 418KB for this scene. And all this magic is free and open source, courtesy of the splat-transform library from PlayCanvas.

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I just one-shotted a 3D world with proper collision physics using the SpAItial AI API and PlayCanvas Here's how i did it: -> Install the spaitial-playcanvas-world skill: npx skills add spaitial-dev/spaitial-playcanvas-world -> Open Cursor or your preferred coding agent -> Paste the following prompt or use your own: "Using /spaitial-playcanvas-world skill and the spaitial api key provided build a PlayCanvas game from this world prompt: An empty monumental desert sci-fi palace interior with colossal stone arches, sand-dusted floors, bronze industrial machinery, filtered sunlight through high slit windows, carved geometric walls, long ceremonial corridors, immense scale, cinematic warm shadows, ancient-futurist architecture, quiet unoccupied environment. No people, no humans, no characters." This skill covers World and Collision mesh generation using the SpAItial api, and viewer + physics using Playcanvas.

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self portait gaussian splat I captured this by myself with a single camera. I mounted the cam, sat on an office chair, and swiveled around a full 360 while recording a video (check next tweet). Used RealityScan's AI masking to mask myself from the surroundings (for sfm to work), then used MrNeRF's LichtFeldStudio to splat! alignment is faaar from perfect (notice the ghosting/doubling), but not a bad result for such a simple workflow! and of course, Codex and I wrote a end-to-end video to splat script to repeate this as many times as I'd like :) view on supersplat:
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PlayCanvas is making it possible to turn Gaussian splats into videogames. Today's update to splat-transform solves collision. Stats for this scene: 🖼️ Splat: 16.2MB 🧊 Voxel Collision: 1.5MB Splat link 👇

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What happens if you try to push and squash a Gaussian splat? :) Been playing with adding simplified deformation and a lightweight physics simulation layer to Gaussian splats, running directly in real time on mobile. Instead of simulating every splat, this uses a small CPU lattice to drive the deformation, plus a per-splat transform so they actually stretch and compress properly. No mesh conversion, no retraining. Just layered on top of the renderer. You can push, bend, squash a scan and it holds together surprisingly well... Still early, but I can see the potential in making splats feel more real, from static captures to something more tactile, something you can touch, throw, bounce around… or well just fold and squash on the floor :) #GaussianSplatting #3DGS #Unity
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splat-transform is a free and open source library and CLI tool for processing 3D Gaussian splats. It can create lightweight, accurate, voxel-based collision at scale. No human intervention required. This gym scene's voxels are perfectly generated - even large fully transparent windows are correctly filled. The voxel data file is 118KB. Start building 3D Gaussian splat apps today with PlayCanvas and splat-transform. 🧑‍💻
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splat-transform is a free and open source library and CLI tool for processing 3D Gaussian splats. It can create lightweight, accurate, voxel-based collision at scale. No human intervention required. This gym scene's voxels are perfectly generated - even large fully transparent windows are correctly filled. The voxel data file is 118KB. Start building 3D Gaussian splat apps today with PlayCanvas and splat-transform. 🧑‍💻

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