Face forgery detection by progressively enhancing spatial and frequency-aware features-Reference-Cited by-同舟云学术

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Face forgery detection by progressively enhancing spatial and frequency-aware features

Published:2024-05-24 Issue:3 Volume:30 Page:
ISSN:0942-4962
Container-title:Multimedia Systems
language:en
Short-container-title:Multimedia Systems

Author:

Qi Yongfeng,Wen Shengcong,Zhang Hengrui,Liang Anye,Chen Huili,Cao Panpan

Funder

National Natural Science Foundation of China

Gansu Provincial Department of Education Industrial Support Plan Project

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00530-024-01357-1.pdf

Reference74 articles.

1. Lee, C.-H., Liu, Z., Wu, L., Luo, P.: Maskgan: towards diverse and interactive facial image manipulation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5549–5558 (2020). IEEE

2. Shen, Y., Gu, J., Tang, X., Zhou, B.: Interpreting the latent space of gans for semantic face editing. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9243–9252 (2020). IEEE

3. Wu, R., Zhang, G., Lu, S., Chen, T.: Cascade ef-gan: progressive facial expression editing with local focuses. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5021–5030 (2020). IEEE

4. Tora, M.: Deepfakes (2018). https://github.com/deepfakes/faceswap/tree/v2.0.0. Accessed 29 Nov 2023

5. Thies, J., Zollhofer, M., Stamminger, M., Theobalt, C., Nießner, M.: Face2face: real-time face capture and reenactment of rgb videos. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2387–2395 (2016). IEEE

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