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DTSTART:19721003T020000
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BEGIN:VEVENT
DTSTAMP:20260114T163739Z
LOCATION:Meeting Room C4.9+C4.10\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T102000
DTEND;TZID=Australia/Melbourne:20231214T112000
UID:siggraphasia_SIGGRAPH Asia 2023_sess152@linklings.com
SUMMARY:Creative Expression
DESCRIPTION:IconShop: Text-Guided Vector Icon Synthesis with Autoregressiv
 e Transformers\n\nScalable Vector Graphics (SVG) is a popular vector image
  format that offers good support for interactivity and animation. Despite 
 its appealing characteristics, creating custom SVG content can be challeng
 ing for users due to the steep learning curve required to understand SVG g
 rammars or get familia...\n\n\nRonghuan Wu, Wanchao Su, Kede Ma, and Jing 
 Liao (City University of Hong Kong)\n---------------------\nAnything to Gl
 yph: Artistic Font Synthesis via Text-to-Image Diffusion Model\n\nThe auto
 matic generation of artistic fonts is a challenging task that attracts man
 y research interests. Previous methods specifically focus on glyph or text
 ure style transfer. However, we often come across creative fonts composed 
 of objects in posters or logos. These fonts have proven to be a challe...\
 n\n\nChangShuo Wang, Lei Wu, XiaoLe Liu, and Xiang Li (Shandong University
 ); Lei Meng (Shandong University, Shandong Research Institute of Industria
 l Technology); and Xiangxu Meng (Shandong University)\n-------------------
 --\nClose the Design-to-Manufacturing Gap in Computational Optics with a ’
 Real2Sim’ Learned Two-Photon Neural Lithography Simulator\n\nWe introduce 
 neural lithography to address the ‘design-to-manufacturing’ gap in computa
 tional optics. Computational optics with large design degrees of freedom e
 nable advanced functionalities and performance beyond traditional optics. 
 However, the existing design approaches often overloo...\n\n\nCheng Zheng 
 (MIT), Guangyuan Zhao (The Chinese University of Hong Kong), and Peter So 
 (MIT)\n---------------------\nEditing Motion Graphics Video via Motion Vec
 torization and Transformation\n\nMotion graphics videos are widely used in
  Web design, digital advertising, animated logos and film title sequences,
  to capture a viewer's attention. But editing such video is challenging be
 cause the video provides a low-level sequence of pixels and frames rather 
 than higher-level structure such as t...\n\n\nSharon Zhang and Jiaju Ma (S
 tanford University); Daniel Ritchie (Brown University); Jiajun Wu (Stanfor
 d University); and Maneesh Agrawala (Stanford University, Roblox)\n-------
 --------------\nText-Guided Vector Graphics Customization\n\nVector graphi
 cs are widely used in digital art and valued by designers for their scalab
 ility and layer-wise topological properties. However, the creation and edi
 ting of vector graphics necessitate creativity and design expertise, leadi
 ng to a time-consuming process. In this paper, we propose a novel...\n\n\n
 Peiying Zhang (City University of Hong Kong), Nanxuan Zhao (Adobe Research
 ), and Jing Liao (City University of Hong Kong)\n\nRegistration Category: 
 Full Access\n\nSession Chair: Haisen Zhao (Shandong University)
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