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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_332@linklings.com
SUMMARY:Make Your Own Sprites: Aliasing-Aware and Cell-Controllable Pixeli
 zation
DESCRIPTION:Technical Papers\n\nMake Your Own Sprites: Aliasing-Aware and 
 Cell-Controllable Pixelization\n\nWu, Chai, Zhao, Deng, Liu...\n\nPixel ar
 t is a unique art style with the appearance of low resolution images. In t
 his paper, we propose a data-driven pixelization method that can produce s
 harp and crisp cell effects with controllable cell size. Our approach over
 comes the limitation of existing learning-based methods in cell size contr
 ol by introducing a reference pixel art to explicitly regularize the cell 
 structure. In particular, the cell structure features of the reference pix
 el art are used as an auxiliary input for the pixelization process, and fo
 r measuring the style similarity between the generated result and the refe
 rence pixel art. Furthermore, we disentangle the pixelization process into
  specific cell-aware and aliasing-aware stages, mitigating the ambiguities
  in joint learning of cell size, aliasing effect, and color assignment.\nT
 o train our model for cell-controllable and aliasing-aware generation of p
 ixel arts, we construct a dedicated pixel art dataset and augment it with 
 different cell sizes and different degrees of anti-aliasing effects. Exten
 sive experiments demonstrate superior performance over state-of-the-arts i
 n terms of cell sharpness and perceptual expressiveness. We also show prom
 ising results of video game pixelization for the first time.\n\nRegistrati
 on 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_332&sess=sess15
 3
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