Face frontalization with deep GAN via multi-attention mechanism-Reference-Cited by-同舟云学术

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Face frontalization with deep GAN via multi-attention mechanism

Published:2022-12-16 Issue: Volume: Page:
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Cao Jiaqian,Chen Zhenxue,Zhang Yujiao,Sun Luna,Chen Jiyang

Funder

National Natural Science Foundation of China

National Key RD Program of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-022-02409-7.pdf

Reference42 articles.

1. Parkhi, O.M., Vedaldi, A., Zisserman, A.: Deep face recognition. In: British Machine Vision Conference (2015)

2. Sun, Y., Wang, X., Tang, X.: Deep learning face representation from predicting 10,000 classes. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1891–1898 (2014)

3. Schroff, F., Kalenichenko, D., Philbin, J.: Facenet: a unified embedding for face recognition and clustering. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 815–823 (2015)

4. Cao, K., Rong, Y., Li, C., Tang, X., Loy, C.C.: Pose-robust face recognition via deep residual equivariant mapping. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 5187–5196 (2018)

5. Hu, Y., Wu, X., Yu, B., He, R., Sun, Z.: Pose-guided photorealistic face rotation. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 8398–8406 (2018)

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