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 introduce a 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.
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
TBD
Tentative Schedule (4 hours)
TBD
Papers Program
TBD
Program Committee (PC)
TBD
Contact
For questions, please contact the primary organizer Dr. Brendan David-John at bmdj@vt.edu.