Fast Sprite Decomposition from Animated Graphics
Tomoyuki Suzuki, Kotaro Kikuchi, Kota Yamaguchi

TL;DR
This paper introduces a fast and efficient method for decomposing animated graphics into sprites by optimizing sprite parameters with a texture prior, pre-trained segmentation, and user input, validated on a new dataset.
Contribution
The paper proposes a novel sprite decomposition approach that combines texture priors, pre-trained segmentation, and user annotations to improve speed and quality.
Findings
Outperforms baseline methods in quality and efficiency
Uses a new Crello Animation dataset for evaluation
Achieves significant speedups in sprite decomposition
Abstract
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.
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Taxonomy
TopicsComputer Graphics and Visualization Techniques · Image Enhancement Techniques · Data Visualization and Analytics
Methodstravel james · Sparse Evolutionary Training · SPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
