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Google Colab Notebook to play with StyleGAN for generating images and videos

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StyleGAN2-Experiments

Google Colab Notebook to play with StyleGAN for generating images and videos. Provide your own image and experiment with code in the notebook.

How to Run: Download and run locally (NVIDIA CUDA needed) or click below to run on Google Colab using your Google Account

Example Input : Suyash Joshi's Portrait Image

Suyash Joshi - Portrait Image

Outputs : Aligns the face and generated a fake version of me from the Latent Space

Outputs : Interpolates between my generated image with Trump's

Additional Resources

Acknowledgements

Thanks to Sebastian Berns, Queen Mary, University of London (@sebastianberns) and Terence Broad, Goldsmiths, University of London (@Terrybroad) for conducting this tutorial at ICCC 20 Conference. Also thanks to the original StyleGAN & StyleGAN2 authors Tero Karras, Samuli Laine, Timo Aila, Miika Aittala, Janne Hellsten and Jaakko Lehtinen for their excellent work in advancing the state of the art of generative models. Also thanks to Kim Seonghyeon for providing an open source PyTorch implementation used in this notebook. Also thanks to Dmitry Nikitko for providing the code we have used here for aligning images before projection into StyleGAN and the figure that we have used to demonstrate the vector arithmetic.

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Google Colab Notebook to play with StyleGAN for generating images and videos

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