High-fidelity facial expression transfer using part-based local–global conditional gans-Reference-Cited by-同舟云学术

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High-fidelity facial expression transfer using part-based local–global conditional gans

Published:2023-07-26 Issue:8 Volume:39 Page:3635-3646
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Rashid Muhammad Mamunur,Wu Shihao,Nie Yongwei,Li Guiqing

Funder

NSFC

NSF of Guangdong Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s00371-023-03035-1.pdf

Reference51 articles.

1. Abdal, R., Qin, Y., Wonka, P.: Image2stylegan: How to embed images into the stylegan latent space? In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 4432–4441 (2019)

2. Abdal, R., Qin, Y., Wonka, P.: Image2stylegan++: How to edit the embedded images? In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 8296–8305 (2020)

3. Blanz, V., Vetter, T.: A morphable model for the synthesis of 3d faces. In: Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques, pp. 187–194 (1999)

4. Bounareli, S., Argyriou, V., Tzimiropoulos, G.: Finding directions in gan’s latent space for neural face reenactment. arXiv:2202.00046 (2022)

5. Chang, J.R., Chen, Y.S., Chiu, W.C.: Learning facial representations from the cycle-consistency of face. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 9680–9689 (2021)

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