Artificial neural networks were inspired by the human brain and simulate how neurons behave when they are shown a sensory input (e.g., images, sounds, etc). They are known to be excellent tools for image recognition, any many other problems beyond that – they also excel at weather predictions, breast cancer cell mitosis detection, brain image segmentation and toxicity prediction among many others. Deep learning means that we use an artificial neural network with multiple layers, making it even more powerful for more difficult tasks.
This time they have been shown to be apt at reproducing the artistic style of many famous painters, such as Vincent Van Gogh and Pablo Picasso among many others. All the user needs to do is provide an input photograph and a target image from which the artistic style will be learned.
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The paper “Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis” is available here:
Previous work – the paper “A Neural Algorithm of Artistic Style” is available here
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Deep Neural Network Learns Van Gogh’s Art –
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The shown website with neural art:
Check this one out too (it is a different implementation)!
Thumbnail image: Andreas Achenbach – Clearing Up
Splash screen/thumbnail design: Felícia Fehér –
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