elleryqueenhomels/fast_neural_style_transfer

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Fast-Neural-Style-Transfer Generative Neural Methods Based On Model Iteration Description Using a Deep Residual Convolutional Neural Network as an Image Transformation Network (ITN). We train the ITN to transform input images into output images. We use a VGG19 which is pre-trained on ImageNet dataset as Loss Network to define two Perceptual Losses (Feature Reconstruction Loss & Style Reconstruction Loss) that measure perceptual differences in content and style between images. For a specific style,...