BEGIN:VCALENDAR VERSION:2.0 PRODID:-//https://www.dfp.ubc.ca//NONSGML iCalcreator 2.41.92// CALSCALE:GREGORIAN METHOD:PUBLISH UID:33323738-6530-4935-a364-343866353430 X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde X-WR-TIMEZONE:America/Vancouver X-WR-CALNAME:Recent Development of Generative AI Focused on Computer Vision - Dongjun Kim\, Postdoctoral Scholar\, Stanford University BEGIN:VTIMEZONE TZID:America/Vancouver TZUNTIL:20261101T090000Z BEGIN:STANDARD TZNAME:PST DTSTART:20241103T020000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RDATE:20251102T020000 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT DTSTART:20240310T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RDATE:20250309T020000 RDATE:20260308T020000 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:90368d72-b77e-48ad-9424-38a3b6b764e2 DTSTAMP:20260109T045822Z CLASS:PUBLIC CREATED:20241121T233427Z DESCRIPTION:Abstract: With the recent advancements in diffusion models\, th e image generation problem has become nearly resolved in terms of quality. However\, because most large language models (LLMs) are built on autoregr essive transformer architectures\, there remains a significant gap between LLMs and diffusion models\, and it is challenging to combine text generat ion and image/video/audio generation in a single unified model. This talk will explore recent efforts to bridge this gap. DTSTART;TZID=America/Vancouver:20241209T140000 DTEND;TZID=America/Vancouver:20241209T150000 LAST-MODIFIED:20241121T233953Z LOCATION:UBC Vancouver Campus\, ICCS X836 SUMMARY:Recent Development of Generative AI Focused on Computer Vision - Do ngjun Kim\, Postdoctoral Scholar\, Stanford University TRANSP:OPAQUE URL:https://www.dfp.ubc.ca/index.php/event/recent-development-generative-ai -focused-computer-vision-dongjun-kim-postdoctoral-scholar END:VEVENT END:VCALENDAR