First look at DragGAN - the generative net that allows the user to drag a particular part of an image and shift it to the target place. Try it yourself: https://github.com/.../neural_networks/GAN/draggan.ipynb

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  • DragGAN

    Official Code for DragGAN (SIGGRAPH 2023)

  • I tested the unofficial one https://github.com/XingangPan/DragGAN and it's not great. You can only use their models and if you try to import your own , it's all distorted and low quality.

  • Link to it: https://github.com/.../neural_networks/GAN/draggan.ipynb

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  • DragGAN

    Unofficial implementation of the DragGAN paper (by adriaciurana)

  • Not sure if it's the same one OP used, but looks similar, here's working link: https://github.com/adriaciurana/DragGAN https://colab.research.google.com/github/adriaciurana/DragGAN/blob/master/colab_notebook.ipynb

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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