craighagerman / StyleTransfer

Image-to-image style transfer

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StyleTransfer

Image-to-image style transfer

This is a repo for some hacking around image-to-image style transfer methods.

Initially

I am interested in the approach detailed in the paper: “Inversion-Based Style Transfer with Diffusion Models” (CVPR 2023)

I am mainly interested in taking apart the code to understand the approach better. I find that refactoring and trying to make code more robust is a good way to do that.

Initial objectives

  • fix the bugs
  • refactor to use up-to-date dependencies
  • refactor to make code more clear, robust, extensible; split apart the copy/pasted code (e.g. Stable Diffusion ldm) and attribute accordingly

Subsequently

I want to take apart and/or implement Neural Style Transfer (i.e. CNN) and GAN based approaches and compare the three for similar tasks

About

Image-to-image style transfer

License:MIT License


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