Deep Style Transfer. Based on ai methods called deep neural networks style transfer called also deep neural style or ai painting enables anyone to create astoundingly detailed and beautiful artwork from their photos. There is however a dearth of research on content aware style transfer.
Neural style transfer is the use of deep learning to carry out style transfer. In this paper we generalize the neural algorithm for style transfer from two perspectives. Recently the pioneering works of.
Nst employs a pre trained convolutional neural network with added loss functions to transfer style from one image to another and synthesize a newly generated image with the features we want to add.
Modern research has demonstrated that many eye catching images can be generated by style transfer via deep neural network. This tutorial demonstrates the original style transfer algorithm. This is known as neural style transfer and the technique is outlined in a neural algorithm of artistic style gatys et al. Due to the scarcity of high quality parallel training data unsupervised learning has become a trending direction for tst tasks.