Archives for neural style transfer
Neural Style Transfer is a type of algorithm that stylizes the digital image or video by adopting the visual style from another image.
Pystiche, framework for NST implementation, built and fully integrated with PyTorch.
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In this article, we present a very fast and effective way to neural style transfer in images using the TensorFlow Hub module. The TF-Hub module provides the pre-trained VGG Deep Convolutional Neural Network for style transfer. This approach takes less than four seconds to transfer style to a content image.
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