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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035307Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_302@linklings.com
SUMMARY:UniColor: A Unified Framework for Multi-Modal Colorization with Tr
 ansformer
DESCRIPTION:Technical Papers\n\nUniColor: A Unified Framework for Multi-Mo
 dal Colorization with Transformer\n\nHuang, Zhao, Liao\n\nWe propose the f
 irst unified framework UniColor to support colorization in multiple modali
 ties, including both unconditional and conditional ones, such as stroke, e
 xemplar, text, and even a mix of them. Rather than learning a separate mod
 el for each type of condition, we introduce a two-stage colorization frame
 work for incorporating various conditions into a single model. In the firs
 t stage, multi-modal conditions are converted into a common representation
  of hint points. Particularly, we propose a novel CLIP-based method to con
 vert the text to hint points. In the second stage, we propose a Transforme
 r-based network composed of Chroma-VQGAN and Hybrid-Transformer to generat
 e diverse and high-quality colorization results conditioned on hint points
 . Both qualitative and quantitative comparisons demonstrate that our metho
 d outperforms state-of-the-art methods in every control modality and furth
 er enables multi-modal colorization that was not feasible before. Moreover
 , we design an interactive interface showing the effectiveness of our unif
 ied framework in practical usage, including automatic colorization, hybrid
 -control colorization, local recolorization, and iterative color editing. 
 Our code and models are available at https://luckyhzt.github.io/unicolor.\
 n\nRegistration Category: FULL ACCESS, EXPERIENCE PLUS ACCESS, EXPERIENCE 
 ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_302&sess=sess15
 3
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