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https://github.com/NotXia/unibo-ai-notes.git
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Add image compression
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@ -8,7 +8,7 @@
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\begin{figure}[H]
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\centering
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\includegraphics[width=0.4\linewidth]{./img/generative_task.png}
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\includegraphics[width=0.4\linewidth]{./img/generative_task.jpg}
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\end{figure}
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\begin{remark}
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@ -16,7 +16,7 @@
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\begin{figure}[H]
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\centering
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\includegraphics[width=0.6\linewidth]{./img/image_manifold.png}
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\includegraphics[width=0.6\linewidth]{./img/image_manifold.jpg}
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\end{figure}
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\end{remark}
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@ -33,7 +33,7 @@
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Model that takes as input a latent representation and maps it into an output image.
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\begin{figure}[H]
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\centering
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\includegraphics[width=0.7\linewidth]{./img/latent_for_generation.png}
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\includegraphics[width=0.7\linewidth]{./img/latent_for_generation.jpg}
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\end{figure}
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\begin{remark}
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@ -192,7 +192,7 @@
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\begin{figure}[H]
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\centering
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\includegraphics[width=0.8\linewidth]{./img/_inception_score.pdf}
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\includegraphics[width=0.8\linewidth]{./img/_inception_score.jpg}
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\end{figure}
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\end{description}
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@ -205,7 +205,7 @@
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\begin{figure}[H]
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\centering
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\includegraphics[width=0.4\linewidth]{./img/earth_mover.png}
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\includegraphics[width=0.4\linewidth]{./img/earth_mover.jpg}
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\caption{
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\parbox[t]{0.8\linewidth}{
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Three cases of density functions distance. The distributions in the first case are closer than the second one. In the third case, they are mostly overlapping.
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@ -228,7 +228,7 @@
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\begin{figure}[H]
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\centering
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\includegraphics[width=0.6\linewidth]{./img/earth_mover_plan.png}
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\includegraphics[width=0.6\linewidth]{./img/earth_mover_plan.jpg}
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\end{figure}
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@ -277,7 +277,7 @@
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\begin{figure}[H]
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\centering
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\includegraphics[width=0.8\linewidth]{./img/manifold_precision_recall.png}
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\includegraphics[width=0.8\linewidth]{./img/manifold_precision_recall.jpg}
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\end{figure}
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@ -296,7 +296,7 @@
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\begin{figure}[H]
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\centering
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\includegraphics[width=0.8\linewidth]{./img/_gan_flow.pdf}
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\includegraphics[width=0.8\linewidth]{./img/_gan_flow.jpg}
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\end{figure}
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@ -405,7 +405,7 @@
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\begin{figure}[H]
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\centering
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\includegraphics[width=0.6\linewidth]{./img/dcgan.png}
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\includegraphics[width=0.6\linewidth]{./img/dcgan.jpg}
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\end{figure}
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\end{description}
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@ -414,7 +414,7 @@
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\begin{figure}[H]
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\centering
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\includegraphics[width=0.5\linewidth]{./img/gan_latent_interpolation.png}
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\includegraphics[width=0.5\linewidth]{./img/gan_latent_interpolation.jpg}
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\end{figure}
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\end{remark}
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@ -442,7 +442,7 @@
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\begin{figure}[H]
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\centering
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\includegraphics[width=0.7\linewidth]{./img/gan_disjoint.png}
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\includegraphics[width=0.7\linewidth]{./img/gan_disjoint.jpg}
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\end{figure}
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\indenttbox
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@ -480,7 +480,7 @@
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\begin{figure}[H]
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\centering
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\includegraphics[width=0.65\linewidth]{./img/_progan.pdf}
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\includegraphics[width=0.65\linewidth]{./img/_progan.jpg}
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\end{figure}
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\begin{description}
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@ -494,7 +494,7 @@
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\begin{figure}[H]
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\centering
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\includegraphics[width=0.7\linewidth]{./img/_progan_fadein.pdf}
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\includegraphics[width=0.7\linewidth]{./img/_progan_fadein.jpg}
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\caption{
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\parbox[t]{0.7\linewidth}{
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ProGAN fade-in. (a) is the starting resolution. (b) depicts the fade-in process. (c) represents the network at the end of the training process for this resolution (i.e., with $\alpha=1$)
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@ -531,7 +531,7 @@
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\begin{figure}[H]
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\centering
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\includegraphics[width=0.4\linewidth]{./img/_stylegan.pdf}
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\includegraphics[width=0.4\linewidth]{./img/_stylegan.jpg}
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\end{figure}
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\begin{remark}
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