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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035309Z
LOCATION:Room 324\, Level 3\, West Wing
DTSTART;TZID=Asia/Seoul:20221207T140000
DTEND;TZID=Asia/Seoul:20221207T153000
UID:siggraphasia_SIGGRAPH Asia 2022_sess159_papers_302@linklings.com
SUMMARY:UniColor: A Unified Framework for Multi-Modal Colorization with Tr
 ansformer
DESCRIPTION:Technical Communications, Technical Papers\n\nUniColor: A Unif
 ied Framework for Multi-Modal Colorization with Transformer\n\nHuang, Zhao
 , Liao\n\nWe propose the first unified framework UniColor to support color
 ization in multiple modalities, including both unconditional and condition
 al ones, such as stroke, exemplar, text, and even a mix of them. Rather th
 an learning a separate model for each type of condition, we introduce a tw
 o-stage colorization framework for incorporating various conditions into a
  single model. In the first stage, multi-modal conditions are converted in
 to a common representation of hint points. Particularly, we propose a nove
 l CLIP-based method to convert the text to hint points. In the second stag
 e, we propose a Transformer-based network composed of Chroma-VQGAN and Hyb
 rid-Transformer to generate diverse and high-quality colorization results 
 conditioned on hint points. Both qualitative and quantitative comparisons 
 demonstrate that our method outperforms state-of-the-art methods in every 
 control modality and further enables multi-modal colorization that was not
  feasible before. Moreover, we design an interactive interface showing the
  effectiveness of our unified framework in practical usage, including auto
 matic colorization, hybrid-control colorization, local recolorization, and
  iterative color editing. Our code and models are available at https://luc
 kyhzt.github.io/unicolor.\n\nRegistration Category: FULL ACCESS, ON-DEMAND
  ACCESS\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON, ON-DEMAND
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_302&sess=sess15
 9
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