Sejong University opens Asia's largest AI virtual studio

Per a Sejong University press release, the university held an opening ceremony on May 22 for Team Studios Sejong, which the release describes as the largest AI virtual media studio at a university in Asia. The facility was created by renovating a roughly 300 pyeong space on the 15th floor of Kwanggaeto Hall, the press release states. The opening ceremony included XR demonstrations and a live virtual-idol performance attended by roughly 240 government, industry, and research participants, according to the press release.

Per Sejong University's press release, the studio includes a large LED stage wall of 16m x 8m, an LED floor of 11m x 6m, Mo-Sys tracking equipment, Sony VENICE cameras, and six Disguise media servers. The release says the equipment package includes hardware SK Telecom previously used in its Pangyo virtual studio, which SK Telecom donated for use in the university's media and animation programs. The studio also links by fiber to a motion-capture facility on campus to support real-time performances of virtual idols and characters, the release adds.

Editorial analysis: University-run, production-grade virtual studios with integrated motion capture and LED volumes are becoming a training and research asset where academia and media industry intersect. For practitioners, these facilities provide a controlled environment to prototype extended-reality (XR) workflows, virtual-human pipelines, real-time rendering integrations, and live-performance broadcasting that combine computer vision, real-time graphics, and generative-media tooling.

Editorial analysis: Sejong's announcement aligns with broader higher-education investments in AI convergence curricula and industry collaboration. Reporting in Chosun frames the studio as part of Sejong's DigiLog AI+ strategy and the AI Convergence College, both launched since 2024, intended to expand AI and XR teaching and research capabilities. The SK Telecom equipment donation, as reported by Sejong University, gives the lab a commercial-grade toolset that shortens the typical time and capital required to reach production capabilities for XR and virtual-human experiments.

Editorial analysis: Observers should monitor how the studio is staffed, which industry partners gain access, and whether outputs-published research, open-source tools, or commercial pilot projects-follow from the facility. Industry-pattern observations: When universities deploy comparable labs, early indicators of impact include joint research projects with defined milestones, graduate student placements in partner companies, and shared IP or prototype demonstrations at industry events. For practitioners, the presence of integrated LED volume, motion capture, and real-time media servers lowers the barrier to developing low-latency, camera-tracked XR experiences, but it also raises practical needs around color pipeline management, timecode synchronization, and GPU/render infrastructure for real-time compositing.