publication . Preprint . 2018

Semi-Supervised Learning for Face Sketch Synthesis in the Wild

Chen, Chaofeng; Liu, Wei; Tan, Xiao; Wong, Kwan-Yee K.;
Open Access English
  • Published: 12 Dec 2018
Abstract
Comment: Correct some syntax errors
Subjects
free text keywords: Computer Science - Computer Vision and Pattern Recognition
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34 references, page 1 of 3

1. Song, Y., Bao, L., Yang, Q., Yang, M.H.: Real-time exemplar-based face sketch synthesis. In: European Conference on Computer Vision. (2014) 800{813

2. Berger, I., Shamir, A., Mahler, M., Carter, E., Hodgins, J.: Style and abstraction in portrait sketching. ACM Transactions on Graphics (TOG) 32 (2013) 55

3. Zhou, H., Kuang, Z., Wong, K.Y.K.: Markov weight elds for face sketch synthesis. In: IEEE Conference on Computer Vision and Pattern Recognition. (2012) 1091{ 1097

4. Zhu, M., Wang, N., Gao, X., Li, J.: Deep graphical feature learning for face sketch synthesis. In: Proceedings of the Twenty-Sixth International Joint Conference on Arti cial Intelligence. (2017) 3574{3580

5. Wang, X., Tang, X.: Face photo-sketch synthesis and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2009) 1955{1967

6. Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. In: Advances in neural information processing systems. (2014) 2672{2680

7. Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networkss. In: Computer Vision (ICCV), 2017 IEEE International Conference on. (2017)

8. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. arXiv:1512.03385 (2015)

9. Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556 (2014)

10. Tang, X., Wang, X.: Face sketch synthesis and recognition. In: IEEE International Conference on Computer Vision. (2003) 687{694

11. Liu, Q., Tang, X., Jin, H., Lu, H., Ma, S.: A nonlinear approach for face sketch synthesis and recognition. In: IEEE Conference on Computer Vision and Pattern recognition. Volume 1. (2005) 1005{1010

12. Zhang, W., Wang, X., Tang, X.: Lighting and pose robust face sketch synthesis. In: European Conference on Computer Vision. (2010) 420{433

13. Wang, N., Gao, X., Li, J.: Random sampling for fast face sketch synthesis. arXiv:1701.01911 (2017)

14. Zhang, L., Lin, L., Wu, X., Ding, S., Zhang, L.: End-to-end photo-sketch generation via fully convolutional representation learning. In: Proceedings of the 5th ACM on International Conference on Multimedia Retrieval (ICMR). (2015) 627{634

15. Zhang, D., Lin, L., Chen, T., Wu, X., Tan, W., Izquierdo, E.: Content-adaptive sketch portrait generation by decompositional representation learning. IEEE Transactions on Image Processing (TIP) 26 (2017) 328{339

34 references, page 1 of 3
Abstract
Comment: Correct some syntax errors
Subjects
free text keywords: Computer Science - Computer Vision and Pattern Recognition
Download from
34 references, page 1 of 3

1. Song, Y., Bao, L., Yang, Q., Yang, M.H.: Real-time exemplar-based face sketch synthesis. In: European Conference on Computer Vision. (2014) 800{813

2. Berger, I., Shamir, A., Mahler, M., Carter, E., Hodgins, J.: Style and abstraction in portrait sketching. ACM Transactions on Graphics (TOG) 32 (2013) 55

3. Zhou, H., Kuang, Z., Wong, K.Y.K.: Markov weight elds for face sketch synthesis. In: IEEE Conference on Computer Vision and Pattern Recognition. (2012) 1091{ 1097

4. Zhu, M., Wang, N., Gao, X., Li, J.: Deep graphical feature learning for face sketch synthesis. In: Proceedings of the Twenty-Sixth International Joint Conference on Arti cial Intelligence. (2017) 3574{3580

5. Wang, X., Tang, X.: Face photo-sketch synthesis and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2009) 1955{1967

6. Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. In: Advances in neural information processing systems. (2014) 2672{2680

7. Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networkss. In: Computer Vision (ICCV), 2017 IEEE International Conference on. (2017)

8. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. arXiv:1512.03385 (2015)

9. Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556 (2014)

10. Tang, X., Wang, X.: Face sketch synthesis and recognition. In: IEEE International Conference on Computer Vision. (2003) 687{694

11. Liu, Q., Tang, X., Jin, H., Lu, H., Ma, S.: A nonlinear approach for face sketch synthesis and recognition. In: IEEE Conference on Computer Vision and Pattern recognition. Volume 1. (2005) 1005{1010

12. Zhang, W., Wang, X., Tang, X.: Lighting and pose robust face sketch synthesis. In: European Conference on Computer Vision. (2010) 420{433

13. Wang, N., Gao, X., Li, J.: Random sampling for fast face sketch synthesis. arXiv:1701.01911 (2017)

14. Zhang, L., Lin, L., Wu, X., Ding, S., Zhang, L.: End-to-end photo-sketch generation via fully convolutional representation learning. In: Proceedings of the 5th ACM on International Conference on Multimedia Retrieval (ICMR). (2015) 627{634

15. Zhang, D., Lin, L., Chen, T., Wu, X., Tan, W., Izquierdo, E.: Content-adaptive sketch portrait generation by decompositional representation learning. IEEE Transactions on Image Processing (TIP) 26 (2017) 328{339

34 references, page 1 of 3
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