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BEGIN:VEVENT
DTSTAMP:20240214T070311Z
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:Technical Papers\n\nEditing Motion Graphics Video via Motion V
 ectorization and Transformation\n\nMotion graphics videos are widely used 
 in Web design, digital advertising, animated logos and film title sequence
 s, to capture a viewer's attention. But editing such video is challenging 
 because the video provides a low-level sequence of pixels and frames rathe
 r than higher-level structure such as t...\n\n\nSharon Zhang and Jiaju Ma 
 (Stanford University); Daniel Ritchie (Brown University); Jiajun Wu (Stanf
 ord University); and Maneesh Agrawala (Stanford University, Roblox)\n-----
 ----------------\nAnything to Glyph: Artistic Font Synthesis via Text-to-I
 mage Diffusion Model\n\nThe automatic generation of artistic fonts is a ch
 allenging task that attracts many research interests. Previous methods spe
 cifically focus on glyph or texture style transfer. However, we often come
  across creative fonts composed of objects in posters or logos. These font
 s have proven to be a challe...\n\n\nChangShuo Wang, Lei Wu, XiaoLe Liu, a
 nd Xiang Li (Shandong University); Lei Meng (Shandong University, Shandong
  Research Institute of Industrial Technology); and Xiangxu Meng (Shandong 
 University)\n---------------------\nIconShop: Text-Guided Vector Icon Synt
 hesis with Autoregressive Transformers\n\nScalable Vector Graphics (SVG) i
 s a popular vector image format that offers good support for interactivity
  and animation. Despite its appealing characteristics, creating custom SVG
  content can be challenging for users due to the steep learning curve requ
 ired to understand SVG grammars or get familia...\n\n\nRonghuan Wu, Wancha
 o Su, Kede Ma, and Jing Liao (City University of Hong Kong)\n-------------
 --------\nClose the Design-to-Manufacturing Gap in Computational Optics wi
 th a ’Real2Sim’ Learned Two-Photon Neural Lithography Simulator\n\nWe intr
 oduce neural lithography to address the ‘design-to-manufacturing’ gap in c
 omputational optics. Computational optics with large design degrees of fre
 edom enable advanced functionalities and performance beyond traditional op
 tics. However, the existing design approaches often overloo...\n\n\nCheng 
 Zheng (MIT), Guangyuan Zhao (The Chinese University of Hong Kong), and Pet
 er So (MIT)\n---------------------\nText-Guided Vector Graphics Customizat
 ion\n\nVector graphics are widely used in digital art and valued by design
 ers for their scalability and layer-wise topological properties. However, 
 the creation and editing of vector graphics necessitate creativity and des
 ign expertise, leading to a time-consuming process. In this paper, we prop
 ose a novel...\n\n\nPeiying Zhang (City University of Hong Kong), Nanxuan 
 Zhao (Adobe Research), and Jing Liao (City University of Hong Kong)\n\nReg
 istration Category: Full Access\n\nSession Chair: Haisen Zhao (Shandong Un
 iversity)
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