Artistic style transfer using backpropogation.
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Updated
Mar 2, 2017 - Python
Artistic style transfer using backpropogation.
A implemention of "A Neural Algorithm of Artistic Style".
PyTorch version of the paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Image style transfer based on Pytorch and VGG19
ImageNet pre-trained models with batch normalization for the Caffe framework
Generate novel artistic images using neural style transfer algorithm
Implement lenet and vgg19 by tensorflow with dataset mnist using tfrecord
Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation
Basic implementation of NST in Tensorflow
Image Classification and Basic Segmentation with Tensorflow-Slim
style-transfer with tensorflow
Generate a new image based on content image and style image
Implementation of style transfer by tensorflow, for detail please see the paper "Image Style Transfer Using Convolutional Neural Networks"(CVPR2016)
This code mainly implement the paper ' Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization ' by TensorFlow
Neural style transfer implementation.
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