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README.md		README.md
condition-embedding.ipynb		condition-embedding.ipynb
condition-embedding_normalization_255.ipynb		condition-embedding_normalization_255.ipynb
embedding_algorithm.ipynb		embedding_algorithm.ipynb
embedding_algorithm_simple.ipynb		embedding_algorithm_simple.ipynb
improved_embedding.ipynb		improved_embedding.ipynb
improved_embedding_normalization_255.ipynb		improved_embedding_normalization_255.ipynb
metrics.ipynb		metrics.ipynb
paper_notes.ipynb		paper_notes.ipynb
plot_results.ipynb		plot_results.ipynb
semantic_editing.ipynb		semantic_editing.ipynb

README.md

Reproduction: Image2StyleGAN

The following reproduction was performed to the Eastern European Machine Learning Summer School 2021, "Deep Learning and Reinforcement Learning".

This reproduction consists of two notebooks where you can find the source code together with a detailed explanation of each part.

embedding_algorithm.ipynb: Notebook with the implementation of the Image2StyleGAN algorithm. Also, the code was partially edited for include further experimentation, studying the use of initializer and perceptual losses.
semantic_editing.ipynb: Notebook with the implementation of three semantic editing operators: morphing, style transfer and expression transfer.

Additional notebooks:

embedding_algorithm_simple.ipynb: This is a reduced version of embedding_algorithm.ipynb where you can find only the original algorithm Image2StyleGAN without editions.
improved_embedding.ipynb: This is a improved version of the algorithm Image2StyleGAN, also called ImprovedImage2StyleGAN (II2S). It adds a regularizer term during the optimization steps, based on an affine transformation implemented with PCA and a new latent space representation P-space. The original paper could be found here Improved StyleGAN Embedding: Where are the Good Latents?