QuestVisionKit is a collection of template and reference projects demonstrating how to use Meta Quest’s new Passthrough Camera API for advanced AR/VR vision, tracking, and shader effects.
A sample to create your own Unreal Passthrough Project for Meta Quest 3, Meta Quest Pro. Works with Meta Quest 2 but it is not recommended. Use it to learn Unreal Engine
Sample Unity project for using TLabWebView (3D web browser / 3D WebView plugin) in OculusQuest. Includes Meta XR SDK and XR Interaction Toolkit implementation example.
A fork of SoundStage VR that offers a virtual sound laboratory for the arts running on Meta Quest.
(This is NOT the source code for the VRChat game on Quest.) Quest 2 (and Quest 1, Quest Pro and newer) OSC and ADB powered battery information sender, now with OpenRGB support
Discord Rich Presence app for Meta Quest
A Unity package to use the new Meta Quest Passthrough Camera API.
3D reconstruction from Meta Quest passthrough and depth via Reality Capture app, with Open3D/TSDF, COLMAP/Nerfstudio export, and Gaussian Splatting prep.
A sample to create your own Unreal Scene Project for Meta Quest 3, Meta Quest Pro. Works with Meta Quest 2 but it is not recommended. Use it to learn Unreal Engine
Experimental integration of Vuforia Engine with Meta Quest 3 PassthroughCamera using a custom C++ Driver Framework plugin.
Real-time environment mesh, navmesh, and collision generation for Unity using the Meta Quest Depth API.
Co-located multiplayer AR cooking game for Meta Quest 3
Sample Unity project for using TLabWebView (3D web browser / 3D WebView plugin) with Mixed Reality Toolkit in OculusQuest
🦯🎱 Master's thesis: collaborative Mixed Reality billiards game for a science center exhibit proof-of-concept
Meta Quest App for OpenSourceWebsite
Spatial Control Room is a mixed reality concept designed to revolutionize television production control rooms. It uses a Quest 3 headset and OBS.
Real-time stereo matching and point cloud visualization for Meta Quest 3 / 3s.
MR/VR interior design app for Meta Quest 3 – place virtual furniture, and experiment with layouts
6DoF tracking of laparoscopic forceps using ArUco markers and computer vision on Meta Quest 3. Features marker visibility-based clamp control, size-adaptive grasping, and One Euro filtering. Built with Unity, OpenCV, and XR Interaction Toolkit for MR surgical training.
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