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VERSION:2.0
PRODID:Linklings LLC
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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:JST
DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20250110T023306Z
LOCATION:Lobby Gallery (1) & (2)\, G Block\, Level B1
DTSTART;TZID=Asia/Tokyo:20241206T130000
DTEND;TZID=Asia/Tokyo:20241206T140000
UID:siggraphasia_SIGGRAPH Asia 2024_sess201_pos_157@linklings.com
SUMMARY:Self-attention Handwriting Generative Model
DESCRIPTION:Poster\n\nYu-Chiao Wang, Tung-Ju Hsieh, and Pei-Ying Chiang (N
 ational Taipei University of Technology)\n\nThis study introduces a GAN-ba
 sed model, zi2zi self-attention, which incorporates residual blocks and Se
 lf-Attention Layers in the encoder and decoder. These enhancements capture
  handwriting font details, mimicking the writer’s style.\n\nRegistration C
 ategory: Enhanced Access, Exhibit & Experience Access, Experience Hall Exh
 ibitor, Full Access, Full Access Supporter, Trade Exhibitor
URL:https://asia.siggraph.org/2024/program/?id=pos_157&sess=sess201
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