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Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)
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# DeepTextures Code to synthesise textures using convolutional neural networks as described in the paper "Texture Synthesis Using Convolutional Neural Networks" (Gatys et al., NIPS 2015) (http://arxiv.org/abs/1505.07376). More examples of synthesised textures can be found at http://bethgelab.org/deeptextures/. The IPythonNotebook Example.ipynb contains the code to synthesise the pebble texture shown in Figure 3A (177k parameters) of the revised version of the paper. In the notebook I additionally match the pixel histograms in each colorchannel of the synthesised and original texture, which is not done in the figures in the paper. #Prerequisites * To run the code you need a recent version of the [Caffe](https://github.com/BVLC/caffe) deep learning framework and its dependencies (tested with master branch at commit 20c474fe40fe43dee68545dc80809f30ccdbf99b). * The images in the paper were generated using a normalised version of the [19-layer VGG-Network](http://www.robots.ox.ac.uk/~vgg/research/very_deep/) described in the work by [Simonyan and Zisserman](http://arxiv.org/abs/1409.1556). The weights in the normalised network are scaled such that the mean activation of each filter over images and positions is equal to 1. **The normalised network can be downloaded [here](http://bethgelab.org/media/uploads/deeptextures/vgg_normalised.caffemodel) and has to be copied into the Models/ folder.** # Disclaimer This software is published for academic and non-commercial use only.
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:af974f19a0de3c47, llm:Repository description: 'Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015' (neural texture synthesis).
matched fp:af974f19a0de3c47, llm:Repository description: 'Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015' (neural texture synthesis).