Skip to main content
SpringerLink
Log in

Face-sketch learning with human sketch-drawing order enforcement

  • Letter
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Wang X G, Tang X O. Face photo-sketch synthesis and recognition. IEEE Trans Pattern Anal Mach Intell, 2009, 31: 1955–1967

    Article  MathSciNet  Google Scholar 

  2. Zhang M, Wang N, Li Y, et al. Neural probabilistic graphical model for face sketch synthesis. IEEE Trans Neural Netw Learn Syst, 2019. doi: https://doi.org/10.1109/TNNLS.2019.2933590

  3. Wang N, Gao X, Sun L, et al. Anchored neighborhood index for face sketch synthesis. IEEE Trans Circ Syst Video Technol, 2018, 28: 2154–2163

    Article  Google Scholar 

  4. Zhang W, Wang X, Tang X. Coupled information-theoretic encoding for face photo-sketch recognition. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. 513–520

  5. Khaligh-Razavi S M, Kriegeskorte N. Deep supervised, but not unsupervised, models may explain IT cortical representation. PLoS Comput Biol, 2014, 10: e1003915

    Article  Google Scholar 

  6. Goodfellow I J, Pouget-Abadie J, Mirza M, et al. Generative adversarial nets. In: Proceedings of Annual Conference on Neural Information Processing Systems (NIPS), 2014. 2672–2680

  7. Isola P, Zhu J, Zhou T, et al. Image-to-image translation with conditional adversarial networks. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. 5967–5976

  8. Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation. In: Proceedings of International Conference on Medical Image Computing and Computer-assisted Intervention, 2015. 234–241

Download references

Acknowledgements

This work was supported by National Key R&D Program of China (Grant Nos. 2017YFB1402105, 2019YFC1521100), National Natural Science Foundation of China (Grant Nos. U1805264, 61573359, 61672103, 61473276, 61402040), and Natural Science Foundation of Beijing (Grant No. L182052).

Author information

Authors and Affiliations

  1. School of Artificial Intelligence, Beijing Normal University, Beijing, 100875, China

    Liang Chang & Lihua Jin

  2. Department of Design Art, Xiamen University of Technology, Xiamen, 361024, China

    Lifen Weng & Wentao Chao

  3. Department of Automation, North China Electric Power University, Baoding, 071003, China

    Xuguang Wang

  4. Beijing Key Laboratory of Human Computer Interactions, Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China

    Xiaoming Deng

  5. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

    Qiulei Dong

  6. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China

    Qiulei Dong

  7. Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, 100190, China

    Qiulei Dong

Authors
  1. Liang Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lihua Jin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lifen Weng
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Wentao Chao
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xuguang Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Xiaoming Deng
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Qiulei Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Xiaoming Deng or Qiulei Dong.

Supplementary File

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chang, L., Jin, L., Weng, L. et al. Face-sketch learning with human sketch-drawing order enforcement. Sci. China Inf. Sci. 63, 219103 (2020). https://doi.org/10.1007/s11432-019-2890-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-019-2890-8

Search

Navigation