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Any idea on the algorithm that deepart.io uses compared to this one? The image from deepart.io looks nicer, although it could just be due to brute force (deepa

• andreyk 10y ago
  They say they use a variation on the neural art transfer algorithm: "We apply an algorithm developed by Leon Gatys, Alexander Ecker and Matthias Bethge. " https://deepart.io/page/about/ https://deepart.io/page/about/ https://arxiv.org/abs/1508.06576 https://arxiv.org/abs/1508.06576 There are various tweaks for how to do it and some hacks to make it faster, so they probably iterated to get better results.
• titu1994 10y ago
  Hi, I'm the developer of the script. The algorithm used by Deepart.io differs in two crucial ways : It uses Markov Random Field Regularization from the CNNMRF paper, as well as Image Analogy loss from the Image Analogies" paper. The output is far more precise, although it requires far more time to process the image, as well as requires a 1000 iterations. Of course on powerful GPU's this is not a big problem. However on a desktop gpu or laptop gpu for home use, it is simply not worth it to use several hours to develop a single image. On the plus side, there is a second script called INetwork.py which uses several improvements from a recent paper "Improving the Neural Algorithm of Artistic Style" which takes slightly more time, but produces good results in under 100 iterations and far less time than with MRF loss.