We aim to democratize extended reality (XR) systems research, development, and benchmarking by providing
A reference open source end-to-end XR system testbed, with state-of-the-art components connected with a modular runtime
A benchmarking methodology for XR systems, including reference system configurations, applications, data sets, and metrics
A community where the multidisciplinary XR systems research and development stakeholders come together
ILLIXR presented at the University of Washington Distinguished Lecture Series
This release consists of standalone components in a representative XR workflow, including SLAM, scene reconstruction, ambisonic encoding and playback, lens distortion correction, chromatic aberration correction, asynchronous reprojection, and computational holography with detailed benchmarking. ILLIXR Paper.