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Few-shot font style transfer with multiple style encoders

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  • Special Focus on Deep Learning for Computer Vision
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Conclusion

In this study, we propose a novel font style transfer network, that is, MS-EMD, which has multiple style encoders to perfectly perform font generation and font fusion tasks simultaneously. Extensive experiments demonstrate the exceptional performance of MS-EMD on novel style font generation and font fusion.

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References

  1. Zhang Y X, Zhang Y, Cai W B. Separating style and content for generalized style transfer. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2018. 8447–8455

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Acknowledgements

This work was supported by Key R&D Program of Zhejiang Province (Grant No. 2022C03126), Key Project of Natural Science Foundation of Zhejiang Province (Grant No. LZ19F020002), National Science and Technology Innovation 2030 Major Project of the Ministry of Science (Grant No. 2018AAA0100703), National Key R&D Program of China (Grant No. 2018YFB1403600), and Tencent Robotics X Lab Rhino-Bird Joint Research Program (Grant No. JR2020001 TEG&ZJU).

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Author notes

  1. Zhang K J and Zhang R have the same contribution to this work.

Authors and Affiliations

  1. State Key Lab of CAD&CG, Zhejiang University, Hangzhou, 310027, China

    Kejun Zhang, Rui Zhang, Yonglin Wu, Bolin Wang & Lingyun Sun

  2. School of Software Technology, Zhejiang University, Hangzhou, 310027, China

    Yifei Li

  3. Robotics X, Tencent, Shenzhen, 518054, China

    Yonggen Ling

  4. College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, 310027, China

    Yingming Li

Authors
  1. Kejun Zhang
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  2. Rui Zhang
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  3. Yonglin Wu
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  4. Yifei Li
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  5. Yonggen Ling
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  6. Bolin Wang
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  7. Lingyun Sun
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  8. Yingming Li
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Corresponding author

Correspondence to Yingming Li.

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Supporting information

Appendixes A and B. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Zhang, K., Zhang, R., Wu, Y. et al. Few-shot font style transfer with multiple style encoders. Sci. China Inf. Sci. 65, 160109 (2022). https://doi.org/10.1007/s11432-021-3435-8

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  • DOI: https://doi.org/10.1007/s11432-021-3435-8