BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//HKU Musketeers Foundation Institute of Data Science - ECPv6.18.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:HKU Musketeers Foundation Institute of Data Science
X-ORIGINAL-URL:https://datascience.hku.hk
X-WR-CALDESC:Events for HKU Musketeers Foundation Institute of Data Science
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Hong_Kong
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20240101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251219T170000
DTEND;TZID=Asia/Hong_Kong:20251219T180000
DTSTAMP:20251216T090903Z
CREATED:20251216T032822Z
LAST-MODIFIED:20251216T090903Z
UID:48774-1766163600-1766167200@datascience.hku.hk
SUMMARY:HKU IDS Seminar: Controllable Creation with Multi-modal Cues
DESCRIPTION:Speaker:\n\nMs Nanxuan (Cherry) Zhao\nResearch Scientist\, Adobe Research \nNanxuan (Cherry) Zhao is a Research Scientist at Adobe Research\, where she leads work on instruction-based image editing\, a technology that has been adopted in Adobe products. Previously\, she was an Assistant Professor in the Department of Computer Science at the University of Bath. Her research spans computer graphics\, computer vision\, and human–computer interaction\, with a recent focus on data-driven content generation and editing\, and graphic design. She is particularly interested in multi-modal control for customizing pixels\, vector graphics\, and 3D shapes. She has served the research community\, such as (Lead) Area Chair for CVPR 2026\, Poster Chair for Pacific Graphics 2026\, Area Chair for 3DV 2026\, Associate Editor for IEEE CG&A\, and on the program committees for SIGGRAPH and SIGGRAPH Asia. \n  \nAbstract: \nModern generative models can synthesize images\, graphics\, and 3D content with remarkable fidelity\, but turning human intent into precise control remains a central challenge. In this talk\, I will discuss how we can steer creation and editing using a rich set of multi-modal cues\, such as natural language instructions\, visual examples\, layout and vector constraints\, and 3D priors\, to achieve controllable\, reusable\, and user-aligned results. \n  \n\n\nRegister Here
URL:https://datascience.hku.hk/event/hku-ids-seminar-controllable-creation-with-multi-modal-cues/
LOCATION:IDS Seminar Room\, P603\, Graduate House
CATEGORIES:IDS Scholar Seminar Series,IDS Seminar
ATTACH;FMTTYPE=image/jpeg:https://datascience.hku.hk/wp-content/uploads/2025/12/IDSSeminar20251219_Poster.jpg
ORGANIZER;CN="HKU IDS":MAILTO:datascience@hku.hk
END:VEVENT
END:VCALENDAR