Fast Sprite Decomposition from Animated Graphics
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.
66b435e223d744f31da768c6
Tomoyuki Suzuki
admin_assigned
2024-08-08T10:42:58.708Z
628b45cf488ff0ea1c7007dc
/avatars/8000a1f6ea159cad9f0ffa384cd50f2a.svg
Tomoyuki Suzuki
user
tomoyukun
66b435e223d744f31da768c7
Kotaro Kikuchi
admin_assigned
2024-08-08T10:42:41.361Z
62bd4b9bb01ce3b6a34add59
https://cdn-avatars.huggingface.co/v1/production/uploads/1677452554739-62bd4b9bb01ce3b6a34add59.jpeg
Kotaro Kikuchi
user
ktrk115
66b435e223d744f31da768c8
Kota Yamaguchi
admin_assigned
2024-08-08T10:42:13.136Z
63a56a251b59dd9fc394f65a
/avatars/30b13478b9394067ac6bb3c00deb6504.svg
Kota Yamaguchi
user
kyamagu
Fast Sprite Decomposition from Animated Graphics
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.
sprite raster video static textures texture prior model video object segmentation model single frame annotations Crello Animation dataset quantitative metrics quality/efficiency tradeoff