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Titlebook: Genetic and Evolutionary Computing; Proceedings of the F Jeng-Shyang Pan,Zhigeng Pan,Jerry Chun-Wei Lin Conference proceedings 2024 The Edi

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Sofie Marien,Henrik Serup Christensenwing the network to focus more on the face regions and ignore the interference of background redundant information. Experiments on our collected dataset show that our method is able to effectively remove portrait shadows, and outperforms other existing shadow removal methods.
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approach not only advances BFGO but also showcases the integration of biological growth principles with optimization methodologies. BFGO-ADGD holds promise for tackling challenging optimization tasks and inspiring future research in this domain.
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PSR-GAN: Unsupervised Portrait Shadow Removal Using Evolutionary Computing,wing the network to focus more on the face regions and ignore the interference of background redundant information. Experiments on our collected dataset show that our method is able to effectively remove portrait shadows, and outperforms other existing shadow removal methods.
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