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DTSTAMP:20260805T205600Z
LOCATION:Room 408 B
DTSTART;TZID=America/Los_Angeles:20260723T094000
DTEND;TZID=America/Los_Angeles:20260723T095000
UID:siggraph_SIGGRAPH 2026_sess155_papers_428@linklings.com
SUMMARY:Semantic-Structural Alignment for Generative Pictorial Charts
DESCRIPTION:Zhida Sun, Yulin Zhang, Zheng Gu, and Min Lu (Shenzhen Univers
 ity); Bongshin Lee (Yonsei University); Daniel Cohen-Or (Tel Aviv Universi
 ty, Shenzhen University); and Hui Huang (Shenzhen University)\n\nWe introd
 uce a generative framework that transforms traditional statistical graphic
 s into memorable, engaging pictorial charts. It utilizes structural alignm
 ent to anchor spatial layouts and semantic alignment to transfer expressiv
 e textures. This ensures the resulting visuals are artistically compelling
  and structurally consistent, advancing data-driven visual storytelling.\n
 \nInterest Area: Research & Education\n\nKeyword: Artificial Intelligence/
 Machine Learning, Fabrication, Generative AI, Modeling, Rendering\n\nRegis
 tration Category: Full Conference Supporter, Full Conference\n\nSession Ch
 air: Bohan Wang (National University of Singapore)\n\n
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