BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:JST
DTSTART:18871231T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250110T023303Z
LOCATION:G510\, G Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241205T141000
DTEND;TZID=Asia/Tokyo:20241205T151000
UID:siggraphasia_SIGGRAPH Asia 2024_sess289@linklings.com
SUMMARY:Image Generation & Editing
DESCRIPTION:Technical Communications\n\nThe Technical Communications progr
 am at SIGGRAPH Asia serves as an invaluable platform for presenting cuttin
 g-edge work that may not neatly align with the Technical Papers session. A
 ttendees can expect to explore fresh and thought-provoking ideas, glean pr
 actical insights from real-world production work, and discover innovative 
 applications spanning various disciplines, from graphics and vision to AI 
 and VR.\n\nDuring these sessions, leading experts from academia and indust
 ry will present their latest findings, offering a glimpse into cutting-edg
 e research and development. From geometry and animation to virtual reality
  and machine learning, attendees can expect to explore a diverse array of 
 topics at the intersection of graphics and other fields.\n\nUnder the over
 arching theme of Curious Minds, attendees can delve into discussions surro
 unding innovation, interdisciplinary discovery, and the role of education 
 in shaping the future of technology. Whether you’re a seasoned researcher 
 or a curious enthusiast, the Technical Communications program promises to 
 offer insights that spark curiosity and inspire new perspectives.\n\nOrien
 Text: Surface Oriented Textual Image Generation\n\nIntroducing OrienText: 
 a GEN-AI method enhancing text alignment in images by leveraging surface n
 ormals, outperforming existing models for generating high-quality, accurat
 ely rendered text on oriented surfaces.\n\n\nShubham Singh Paliwal, Arushi
  Jain, Monika Sharma, Vikram Jamwal, and Lovekesh Vig (TCS Research)\n----
 -----------------\nImproved Morphological Anti-Aliasing for Japanese Anima
 tion\n\nThis paper is about all the subtle changes made to MorphoLogical A
 nti-Aliasing (MLAA) that make big differences when applied to Japanese Ani
 mation.\n\n\nTanguy Cesaratto, Alexandre Derouet-Jourdan, and Marc Salvati
  (OLM Digital, Inc.)\n---------------------\nCapturing Light with Robots: 
 A Novel Workflow for Reproducing Realistic Lens Flares\n\nThis research pr
 esents a motion control workflow designed to capture and replicate realist
 ic lens flares. To achieve accurate reproduction, it compares traditional 
 image processing techniques with machine learning methods.\n\n\nVincent Ma
 urer (Filmakademie Baden-Württemberg)\n---------------------\nDiffOBI: Dif
 fusion-based Image Generation of Oracle Bone Inscription Style Characters\
 n\nWe propose DiffOBI, a novel approach for generating images in the oracl
 e bone inscription (OBI) style with unique pictographic features by using 
 diffusion model.\n\n\nXiaoxuan Xie, Xusheng Du, and Minhao Li (Japan Advan
 ced Institute of Science and Technology (JAIST)); Xi Yang (Jilin Universit
 y); and Haoran Xie (Japan Advanced Institute of Science and Technology (JA
 IST))\n---------------------\nThe Secrets of Penalty Functions on Edge-pre
 serving Image Smoothing\n\nWe study the influence of penalty functions on 
 the performance of the edge-preserving image smoothing from the shrinkage 
 rule perspective, and propose a simple optimization framework for edge-pre
 serving image smoothing.\n\n\nXiqun Lu (Zhejiang University)\n\nRegistrati
 on Category: Full Access, Full Access Supporter\n\nLanguage Format: Englis
 h Language\n\nSession Chair: Xi Yang (Jilin University)
END:VEVENT
END:VCALENDAR