Self-prior guided generative adversarial network for image inpainting
Author:
Funder
National Natural Science Foundation of China
Key Talent Project of Gansu Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00371-024-03578-x.pdf
Reference52 articles.
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2. Zhou, Y., Chen, Z., Li, P., Song, H., Chen, C.L.P., Sheng, B.: FSAD-Net: feedback spatial attention dehazing network. IEEE Trans. Neural Netw. Learn. Syst. 34(10), 7719–7733 (2023). https://doi.org/10.1109/TNNLS.2022.3146004
3. Chen, Z., Qiu, G., Li, P., Zhu, L., Yang, X., Sheng, B.: MNGNAS: distilling adaptive combination of multiple searched networks for one-shot neural architecture search. IEEE Trans. Pattern Anal. Mach. Intell. 45(11), 13489–13508 (2023). https://doi.org/10.1109/TPAMI.2023.3293885
4. Che, A., Yang, J.-H., Guo, C., Dai, H.-N., Xie, H., Li, P.: AEGAN: generating imperceptible face synthesis via autoencoder-based generative adversarial network. Comput. Animat. Virtual Worlds (2023). https://doi.org/10.1002/cav.2160
5. Li, P., Sheng, B., Chen, C.L.P.: Face sketch synthesis using regularized broad learning system. IEEE Trans. Neural Netw. Learn. Syst. 33(10), 5346–5360 (2022). https://doi.org/10.1109/TNNLS.2021.3070463
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