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Found 2 papers, 1 papers with code
Laplacian Pyramid-like Autoencoder
LPAE decomposes an image into the approximation image and the detail image in the encoder part and then tries to reconstruct the original image in the decoder part using the two components.
Deep learning for determining a near-optimal topological design without any iteration
Then, as a two-stage refinement, the conditional generative adversarial network (cGAN) is trained with the optimized structures paired at both low and high resolutions, and is connected to the trained CNN-based encoder and decoder network.
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