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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

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News

ILLIXR Talk & Consortium Announcement at NVIDIA GTC '21

April 12, 2021

Sarita Adve and Muhammad Huzaifa announced the ILLIXR consortium at the 2021 NVIDIA GPU Technology Conference (GTC) Video. Slides.

ISCA 2021 Tutorial

April 6, 2021

Tutorial on ILLIXR on 6/18/21 from 9 am to 12 pm EDT. Register here!

University of Washington Distinguished Lecture

February 11, 2021

ILLIXR presented at the University of Washington Distinguished Lecture Series

ILLIXR 2.0 Released

May 20, 2020

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.