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PRODID:Linklings LLC
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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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TZNAME:JST
DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20260817T171531Z
LOCATION:G405\, G Block\, Level 4
DTSTART;TZID=Asia/Tokyo:20241205T160400
DTEND;TZID=Asia/Tokyo:20241205T161600
UID:siggraphasia_SIGGRAPH Asia 2024_sess276_artp_218@linklings.com
SUMMARY:ScribGen: Generating Scribble Art Through Metaheuristics
DESCRIPTION:Soumyaratna Debnath, Ashish Tiwari, and Shanmuganathan Raman (
 Indian Institute of Technology Gandhinagar)\n\nScribble art, arising from 
 chaos and randomness, remains one of the exceptionally attractive forms of
  art. Many works bridge the gap between sketches and images, but few trans
 late images into meaningful chaotic expressions. While deep generative net
 works are known for understanding images, their ability to induce scribble
  drawings is under-explored. Unlike GAN-based approaches that generate lin
 e drawings, sketches, and contours, our work uses metaheuristics to produc
 e scribble art from images. We extensively analyse various metaheuristic a
 lgorithms, demonstrating their optimal balance between creativity and comp
 utational efficiency. They offer better adaptability and accuracy than sta
 te-of-the-art deep generative models for image-to-scribble generation.\n\n
 Registration Category: Enhanced Access, Full Access, Full Access Supporter
 \n\nLanguage Format: English Language\n\nSession Chair: Victoria Szabo (Du
 ke University, ACM)\n\n
URL:https://asia.siggraph.org/2024/program/?id=artp_218&sess=sess276
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