Transform your photos into beautiful oil paintings using an autoencoder neural network. This demonstration shows how an autoencoder can learn the style of oil paintings and apply it to your images.
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Autoencoders are neural networks that learn to compress and reconstruct data. For image style transfer, they learn the characteristics of oil paintings and apply them to new images.
The network receives your image as input
The encoder compresses the image to learn its features
The decoder reconstructs the image with oil painting characteristics
In a real implementation, the autoencoder would be trained on thousands of oil paintings to learn the brush stroke patterns, color palettes, and texture characteristics that define the oil painting style.