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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 4: AAAI-22 Technical Tracks 4

End-to-End Line Drawing Vectorization

February 1, 2023

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Authors

Hanyuan Liu

The Chinese University of Hong Kong


Chengze Li

Caritas Institute of Higher Education


Xueting Liu

Caritas Institute of Higher Education


Tien-Tsin Wong

The Chinese University of Hong Kong


DOI:

10.1609/aaai.v36i4.20379


Abstract:

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.

Topics: AAAI

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HOW TO CITE:

Hanyuan Liu||Chengze Li||Xueting Liu||Tien-Tsin Wong End-to-End Line Drawing Vectorization Proceedings of the AAAI Conference on Artificial Intelligence (2022) 4559-4566.

Hanyuan Liu||Chengze Li||Xueting Liu||Tien-Tsin Wong End-to-End Line Drawing Vectorization AAAI 2022, 4559-4566.

Hanyuan Liu||Chengze Li||Xueting Liu||Tien-Tsin Wong (2022). End-to-End Line Drawing Vectorization. Proceedings of the AAAI Conference on Artificial Intelligence, 4559-4566.

Hanyuan Liu||Chengze Li||Xueting Liu||Tien-Tsin Wong. End-to-End Line Drawing Vectorization. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.4559-4566.

Hanyuan Liu||Chengze Li||Xueting Liu||Tien-Tsin Wong. 2022. End-to-End Line Drawing Vectorization. "Proceedings of the AAAI Conference on Artificial Intelligence". 4559-4566.

Hanyuan Liu||Chengze Li||Xueting Liu||Tien-Tsin Wong. (2022) "End-to-End Line Drawing Vectorization", Proceedings of the AAAI Conference on Artificial Intelligence, p.4559-4566

Hanyuan Liu||Chengze Li||Xueting Liu||Tien-Tsin Wong, "End-to-End Line Drawing Vectorization", AAAI, p.4559-4566, 2022.

Hanyuan Liu||Chengze Li||Xueting Liu||Tien-Tsin Wong. "End-to-End Line Drawing Vectorization". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.4559-4566.

Hanyuan Liu||Chengze Li||Xueting Liu||Tien-Tsin Wong. "End-to-End Line Drawing Vectorization". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 4559-4566.

Hanyuan Liu||Chengze Li||Xueting Liu||Tien-Tsin Wong. End-to-End Line Drawing Vectorization. AAAI[Internet]. 2022[cited 2023]; 4559-4566.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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