title: Fast Sprite Decomposition from Animated Graphics
summary: This paper presents an approach to decomposing animated graphics into
  sprites, a set of basic elements or layers. Our approach builds on the
  optimization of sprite parameters to fit the raster video. For efficiency, we
  assume static textures for sprites to reduce the search space while preventing
  artifacts using a texture prior model. To further speed up the optimization, we
  introduce the initialization of the sprite parameters utilizing a pre-trained
  video object segmentation model and user input of single frame annotations. For
  our study, we construct the Crello Animation dataset from an online design
  service and define quantitative metrics to measure the quality of the extracted
  sprites. Experiments show that our method significantly outperforms baselines
  for similar decomposition tasks in terms of the quality/efficiency tradeoff.
paper_authors._id: 66b435e223d744f31da768c6
paper_authors.name: Tomoyuki Suzuki
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-08-08T10:42:58.708Z
paper_authors._id: 628b45cf488ff0ea1c7007dc
paper_authors.avatarUrl: /avatars/8000a1f6ea159cad9f0ffa384cd50f2a.svg
paper_authors.fullname: Tomoyuki Suzuki
paper_authors.type: user
paper_authors.user: tomoyukun
paper_authors._id: 66b435e223d744f31da768c7
paper_authors.name: Kotaro Kikuchi
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-08-08T10:42:41.361Z
paper_authors._id: 62bd4b9bb01ce3b6a34add59
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/1677452554739-62bd4b9bb01ce3b6a34add59.jpeg
paper_authors.fullname: Kotaro Kikuchi
paper_authors.type: user
paper_authors.user: ktrk115
paper_authors._id: 66b435e223d744f31da768c8
paper_authors.name: Kota Yamaguchi
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-08-08T10:42:13.136Z
paper_authors._id: 63a56a251b59dd9fc394f65a
paper_authors.avatarUrl: /avatars/30b13478b9394067ac6bb3c00deb6504.svg
paper_authors.fullname: Kota Yamaguchi
paper_authors.type: user
paper_authors.user: kyamagu
paper_title: Fast Sprite Decomposition from Animated Graphics
paper_summary: This paper presents an approach to decomposing animated graphics into
  sprites, a set of basic elements or layers. Our approach builds on the
  optimization of sprite parameters to fit the raster video. For efficiency, we
  assume static textures for sprites to reduce the search space while preventing
  artifacts using a texture prior model. To further speed up the optimization, we
  introduce the initialization of the sprite parameters utilizing a pre-trained
  video object segmentation model and user input of single frame annotations. For
  our study, we construct the Crello Animation dataset from an online design
  service and define quantitative metrics to measure the quality of the extracted
  sprites. Experiments show that our method significantly outperforms baselines
  for similar decomposition tasks in terms of the quality/efficiency tradeoff.
paper_ai_keywords: sprite raster video static textures texture prior model video object segmentation model single frame annotations Crello Animation dataset quantitative metrics quality/efficiency tradeoff