Code for TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures (SIGGRAPH 2019)
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Updated
Dec 2, 2019 - Python
Code for TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures (SIGGRAPH 2019)
Data-parallel image stylization using Caffe.
U-2-Net: U Square Net - Modified for paired image training of style transfer
A few stylization coreML models that I've trained with CreateML
An implementation of 'Image stylization using anisotropic reaction diffusion', The Visual Computer (SCIE)
Convert an image into a nice-looking Voronoi diagram using one of many available techniques with options for customization.
Python scripts to pre-train, fine-tune and use JoJoGAN with improved GAN inversion.
A PyTorch implementation of fast neural style transfer
Neural Style Transfer (NST) is an application of deep learning that combines the content of one image with the style of another.
Reimagining the newly constructed Hillhouse Avenue of Yale University
Sketch-like image stylization using webassembly. Live-Demo: https://matthias95.github.io/doodle_me
PyTorch Implementation of Image Stylization method using vgg19 net.
Image stylization by Rolling Guidacne Filter, adding to a Paper Texture (can noise generated)
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