Sarita Adve has received a $1M CISE community research infrastructure grant from the National Science Foundation to bolster ILLIXR as community infrastructure for extended reality research
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.