GitHub / Gregoritsch3 / DL_NeuralStyleTransfer

A DL project that implements Neural Style Transfer on images using a pretrained model, a VGG19-based architecture, and a Feed-Forward architecture after Johnson et al. (2016). The different models utilize custom TensorFlow training loops, cost functions and layers (InstanceNormalization). Various tendencies of such architectures are discussed.

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Topics: computer-vision, deep-learning, instance-normalization, neural-style-transfer, tensorflow

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