alexjc/neural-doodle : Turn your two-bit doodles into fine artworks with deep neural networks. Also generates seamless textures from photos, transfers style from one image to another, performs example-based upscaling, but wait... there’s more ! (An implementation of Semantic Style Transfer.)

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos...
►https://github.com/alexjc/neural-doodle #neural_networks #réseaux_neuronaux #dessin #peinture

https://github.com/alexjc/neural-doodle/raw/master/docs/Portraits_example.jpg

alexjc/neural-doodle
►https://github.com/alexjc/neural-doodle

https://github.com/alexjc/neural-doodle/blob/master/docs/Workflow.gif?raw=true

Use a deep neural network to borrow the skills of real artists and turn your two-bit doodles into masterpieces! This project is an implementation of Semantic Style Transfer (Champandard, 2016), based on the Neural Patches algorithm (Li, 2016). Read more about the motivation in this in-depth article and watch this workflow video for inspiration.

chuanli11/CNNMRF: code for paper “Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis”
▻https://github.com/chuanli11/CNNMRF

https://dl.dropbox.com/s/sfg8x8a8qfvrcyq/cnnmrf.png?dl=0

#ia #generative_art #images #neural_network #machine_learning (ou pas)