Generative AI for XR and Identity-based Applications (CVPR 2026 Workshop)

Generative AI for XR and Identity-based Applications (GenXR-ID @ CVPR 2026)

Abstract

The convergence of Generative AI, Extended Reality (XR), and biometric technologies is reshaping the landscape of XR sensing and authentication systems. The workshop will feature speakers, paper presentations, and discuss an upcoming multimodal XR dataset to seed future research competitions. We invite contributions relevant to at least two of our three topic domains through novel architectures, experiments, and frameworks. By bringing together experts across computer vision, AI, and XR, GenXR-ID aims to chart a path toward secure XR systems powered by generative AI.

Broader Impact

GenXR-ID aims to catalyze interdisciplinary research at the intersection of computer vision, immersive technologies, and biometric identity. Rapid advances in generative AI can enable hyper-personalized avatars, realistic simulations, and adaptive interfaces—while raising concerns around biometric spoofing, identity theft, surveillance, and consent. We will spotlight these challenges and promote research on adversarial robustness, privacy-preserving generation, and security in biometric systems, with special consideration for XR sensor data.

Acknowledgements

This workshop is supported in part by grant PS5VXIH3 from the Commonwealth Cyber Inititiatve Southwest Virginia Node.

Organizers

• Dr. Brendan David-John — Assistant Professor, Computer Science, Virginia Tech (Primary Organizer — bmdj@vt.edu)
• Dr. Chris Thomas — Assistant Professor, Computer Science, Virginia Tech (Secondary Organizer — christhomas@vt.edu)
• Dr. Long Chen — Assistant Professor, CSE, Hong Kong University of Science and Technology
• Dr. Pinar Yanardag Delul — Assistant Professor, Computer Science, Virginia Tech
• Dr. Emanuela Marasco — Senior Research Scientist, Computer Science, Virginia Commonwealth University
• Dr. Shengwei An — Assistant Professor, Computer Science, Virginia Tech

Invited Speakers

• Adam Czajka — Associate Professor, University of Notre Dame
• Dr. Karan Ahuja — Lisa Wissner-Slivka & Benjamin Slivka Assistant Professor, Computer Science, Northwestern & Visiting Research Scientist at Google
• Maria Gorlatova — Associate Professor, Duke
• Dr. Dillon Lohr — Research Engineer, Meta

[Several more to be confirmed]

Tentative Schedule (4 hours)

TBD

Papers Program

We invite submissions that meaningfully connect at least two of these areas. Topics include (but are not limited to):

• XR biometrics & identity
• Continuous or multimodal authentication for XR devices
• Generative models for XR personalization, avatars, and simulation
• Synthetic data for XR sensing and biometrics
• Generative spoofing attacks & defenses
• Privacy, security, fairness, and governance in XR systems
• Datasets, benchmarks, and evaluation for trustworthy XR identity systems

Paper Tracks:

• Archival (up to 8 pages) – published in CVPR 2026 Workshop Proceedings
• Non‑archival short papers (up to 4 pages) – presentation‑only

Presentation Format:

All accepted papers will give spotlight (6–8 min) or lightning (2–3 min) talks.

Important Dates (11:59 PM ET):

• Paper deadline (both tracks): Mar 17, 2026
• Notification: Mar 23, 2026

Submission Site:

OpenReview – https://openreview.net/group?id=thecvf.com/CVPR/2026/Workshop/GenXR-ID

The full call for papers can be found in this document

Program Committee (PC)

TBD

Contact

For questions, please contact the primary organizer Dr. Brendan David-John at bmdj@vt.edu.