From Potential to Rays
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About this project
In this research project we leveraged Deep Learning to study a well-known optics problem, namely trying to predict where caustics will emerge, given the position and the intensity of the rays hitting a surface. The architecture proposed consists of two Variational Autoencoders and a Feed-Forward Network to map the two latent spaces.
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