End-to-End Line Drawing Vectorization
Hanyuan Liu, Chengze Li, Xueting Liu, Tien-Tsin Wong
摘要
Vector graphics is broadly used in a variety of forms, such as illustrations, logos, posters, billboards, and printed ads. Despite its broad use, many artists still prefer to draw with pen and paper, which leads to a high demand of converting raster designs into the vector form. In particular, line drawing is a primary art and attracts many research efforts in automatically converting raster line drawings to vector form. However, the existing methods generally adopt a two-step approach, stroke segmentation and vectorization. Without vector guidance, the raster-based stroke segmentation frequently obtains unsatisfying segmentation results, such as over-grouped strokes and broken strokes. In this paper, we make an attempt in proposing an end-to-end vectorization method which directly generates vectorized stroke primitives from raster line drawing in one step. We propose a Transformer-based framework to perform stroke tracing like human does in an automatic stroke-by-stroke way with a novel stroke feature representation and multi-modal supervision to achieve vectorization with high quality and fidelity. Qualitative and quantitative evaluations show that our method achieves state of the art performance.
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引用它的顶会 Paper5
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- Text-to-Vector Generation with Neural Path RepresentationPeiying Zhang, Nanxuan Zhao, Jing LiaoSIGGRAPH 2024 · 被引用 15 次
- Deep Sketch Vectorization via Implicit Surface ExtractionChuan Yan, Yong Li, Deepali Aneja, Matthew Fisher 等SIGGRAPH 2024 · 被引用 12 次
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它引用的顶会 Paper2
- DeepSVG: A Hierarchical Generative Network for Vector Graphics AnimationAlexandre Carlier, Martin Danelljan, Alexandre Alahi, Radu TimofteNeurIPS 2020 · 被引用 247 次
- General virtual sketching framework for vector line artHaoran Mo, Edgar Simo-Serra, Chengying Gao, Changqing Zou 等SIGGRAPH 2021 · 被引用 59 次
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