Presentation
31. Neuro-Symbolic Transformation of Architectural Facades into Their Procedural Representations
SessionPosters: Geometry & Modeling
DescriptionThis work introduces a neuro-symbolic transformer model that automates the conversion of segmented facade images into procedural definitions using a custom split grammar. It enhances architectural design flexibility, allowing easy adjustments and variations, and sets a new standard in facade design by merging procedural generation with neuro-symbolic learning.
INVITED TO THE FIRST ROUND OF THE STUDENT RESEARCH COMPETITION
INVITED TO THE FIRST ROUND OF THE STUDENT RESEARCH COMPETITION
Event Type
Poster
TimeTuesday, 30 July 20249:00am - 5:30pm MDT
LocationMile High Pre-Function Area
Session TimeSunday, 28 July 20249:00am - 5:30pm MDTMonday, 29 July 20249:00am - 5:30pm MDTTuesday, 30 July 20249:00am - 5:30pm MDTWednesday, 31 July 20249:00am - 5:30pm MDTThursday, 1 August 20249:00am - 5:30pm MDT
LocationMile High Pre-Function Area
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