CardboardXR

3D Model Anything is an open-source iPhone LiDAR capture app, Three.js viewer, and agent skill for reconstructing rooms as editable Three.js scenes. The app records room geometry and photographs; the scan-to-threejs skill guides an AI coding agent through measurement, modeling, and matched-camera visual comparisons rather than performing a one-click conversion. The repository includes an editable office demo, browser views such as dollhouse, walking, overhead, wireframe, and knolling modes, and workflows for importing user captures. LiDAR-equipped iPhones or iPads are required for scanning, while non-LiDAR devices can import and review scans. The reusable source code and skill are MIT licensed; the example's images and textures have separate terms, and the repository does not distribute other rooms or original scan bundles.

barehands is an open-source, webcam-powered hand-tracked interface for AI assistants. It runs in Chrome with a webcam and overlays notes, images, and 3D models as cards over the camera feed; users manipulate them with gestures such as pinching, throwing, stretching, force-pulling, and two-finger dragging. The interface uses a local Python server and loads Google MediaPipe for hand tracking and three.js for 3D rendering. Markdown folders, including Obsidian vaults, can serve as note sources, while configured media folders provide images, transparent props, and 3D models. An AI assistant can control the interface through local files and shell scripts: state files drive the on-screen ring's status, and the board protocol presents content on the stage. The repository states that it can be used, modified, and built on commercially within a business, with redistributed versions remaining under the same license.

Paper Aquarium is a home game that turns a child's marker-colored A4 sheet into a 3D fish swimming in a browser aquarium, with a phone used to capture the sheet and a large screen used for viewing. Four black corner markers identify the sheet and its species while allowing the capture code to locate it in the photo and undo perspective distortion. The system then crops the drawing along the species contour, removes the printed outline, and maps the result as a texture onto a Three.js fish model; the aquarium positions fish within a camera-frustum-shaped volume and infers their orientation from the animation's tail movement. It includes ready-made fish, food, coloring sheets, backgrounds, multiple aquariums, and phone-to-TV handoff through a QR code, link, or five-digit code. The server uses plain Node with no dependencies, with Three.js stored in the repository; it requires Node 18 or later.

A browser-based Three.js study of foldable-screen transitions that recreates an iPhone Duo fold animation with projected screen UI, progressive blur, and custom image uploads. Only the cover half rotates while the rear-camera half remains fixed; screen content uses a front-view projection, and blur and darkening follow image coordinates during the fold. It provides Wallpaper, Launcher, and Custom modes, with orbit controls, zooming, a fold slider, and a play button. The application is static HTML, CSS, and JavaScript with Three.js bundled locally, and can be deployed to Vercel or another static host after preparing the Apple reference assets. The original application code is MIT-licensed; Apple models and imagery are excluded from that license and remain subject to Apple's terms.

4DAnyone is an open-source generative AI pipeline from ant-research that converts a casual monocular video of one person into synchronized videos from multiple virtual camera views for downstream 3D or 4D Gaussian-splatting reconstruction. It supports configurable camera layouts, including full 360-degree or frontal-arc coverage, multiple pitch layers, adjustable yaw ranges, and flexible view counts. The repository provides inference scripts, automatically downloadable models and examples, motion-recovery outputs, camera metadata, skeleton videos, and generated target-view videos. Input footage should be at least 720p, preferably 1080p, use a 9:16 portrait aspect ratio, contain a single person in a full-body or upper-body shot, include at least 121 frames, and have only mild camera motion.