#Mixed-reality
Showing 16 of 16 repositories tagged #mixed-reality, ranked by stars
⬆️ Media Capture in Swift
ViroReact is the leading library for building AR and VR experiences and applications using React Native and Expo.
Mixed Reality app for iOS
Draw with bare fingers in the air using ARKit
A Swift Package for creating familiar UI Elements and animations in RealityKit. For both Augmented Reality or Virtual Reality scenes. Now with visionOS support.
[CVPR 2023] Official repository for downloading, processing, visualizing, and training models on the ARCTIC dataset.
[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D hand-object training data.
Official Code for ECCV 2022 paper "AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing"
DXR is a Unity package for rapid prototyping of immersive data visualizations in augmented, mixed, and virtual reality (AR, MR, VR) or XR for short.
Virtual Reality Software Library
🦕 Unofficial Google Poly SDK in Swift – search, discover, and download 3D models and scenes
Official Code for ACM SIGGRAPH 2024 paper "Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Ranging"
Proof of concept of a mixed reality application for the Microsoft HoloLens 2 integrating object recognition using cloud computing and real-time on-device markerless object tracking. The augmented objects provide interaction using hand input, eye-gaze, and voice commands to verify the tracking result visually.
Swift AI Code & Chat for OpenAI API
Running speech-to-text in a Meta Quest headset using OpenAI's Whisper tiny model
Ubiq-Genie is an open-source framework for integrating AI capabilities into social VR platforms. It offers a modular approach for server-assisted VR applications, enabling new types of collaborative VR experiences such as conversational agents driven by large language models and voice-driven diffusion-based texture generation.