Cross-modality facial attribute translation with feature space consistency between imbalanced domains
Author:
Funder
the Basic Science (Natural Science) Research Projects of Universities in Jiangsu Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03348-1.pdf
Reference39 articles.
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3. Choi, Y., Choi, M., Kim, M. et al.: Stargan: Unified generative adversarial networks for multi-domain image-to-image translation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 8789–8797, https://doi.org/10.48550/arXiv.1711.09020 (2018)
4. Choi, Y., Uh, Y., Yoo, J., et al.: Stargan v2: Diverse image synthesis for multiple domains. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 8188–8197, https://doi.org/10.48550/arXiv.1912.01865 (2020)
5. Collins, E., Bala, R., Price, B. et al.: Editing in style: Uncovering the local semantics of gans. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 5771–5780, https://doi.org/10.48550/arXiv.2004.14367 (2020)
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