BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:Australia/Melbourne X-LIC-LOCATION:Australia/Melbourne BEGIN:DAYLIGHT TZOFFSETFROM:+1000 TZOFFSETTO:+1100 TZNAME:AEDT DTSTART:19721003T020000 RRULE:FREQ=YEARLY;BYMONTH=4;BYDAY=1SU END:DAYLIGHT BEGIN:STANDARD DTSTART:19721003T020000 TZOFFSETFROM:+1100 TZOFFSETTO:+1000 TZNAME:AEST RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240214T070247Z LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre) DTSTART;TZID=Australia/Melbourne:20231214T123000 DTEND;TZID=Australia/Melbourne:20231214T124000 UID:siggraphasia_SIGGRAPH Asia 2023_sess150_papers_720@linklings.com SUMMARY:ReparamCAD: Zero-shot CAD Re-Parameterization for Interactive Mani pulation DESCRIPTION:Technical Papers\n\nMilin Kodnongbua and Benjamin Jones (Unive rsity of Washington), Maaz Bin Safeer Ahmad and Vladimir Kim (Adobe), and Adriana Schulz (University of Washington)\n\nParametric CAD models encode entire families of shapes that should, in principle, be easy for designers to explore, but are in practice difficult to manipulate due to implicit s emantic constraints between parameter values. Finding and enforcing these semantic constraints purely from geometry or programmatic shape representa tions is not possible because these constraints are ultimately a form of d esign intent, and are informed by the designer's experience and semantic i n the real world. While individual pieces of geometry cannot encode this c ontextual knowledge, is it encoded in large foundation models. We use larg e language and image models to understand what the meaningful space of var iation is for a shape, and synthesize a new parametric CAD program that ca ptures these variations, allowing for easy design space exploration along meaningful design axes.\n\nRegistration Category: Full Access\n\nSession C hair: Peng-Shuai Wang (Peking University) URL:https://asia.siggraph.org/2023/full-program?id=papers_720&sess=sess150 END:VEVENT END:VCALENDAR