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 received the Best Paper Award from IEEE International Symposium on Workload Characterization (IISWC) for their paper entitled "ILLIXR: Enabling End-to-End Extended Reality Research".
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
Tutorial on ILLIXR on 6/18/21 from 9 am to 12 pm EDT. Register here!
ILLIXR presented at the University of Washington Distinguished Lecture Series
ILLIXR is now a full system with a runtime integrating the standalone components of v1.0 and more, leveraging Monado to provide OpenXR support. ILLIXR updated paper.
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.