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Image Aesthetic Learning with Deep Convolutional Neural Networks
Parés Pont, Ferran
Seguí Mesquida, Santiago
Humans make consistent and accurate judgements about the beauty of an image. However, it is more challenging for us to determine what makes a picture to look nice. The goals of this thesis are to develop a tool able to predict how beautiful is an image and analyze which features are important.
Àrees temàtiques de la UPC::Informàtica
Neural networks (Computer science)
deep learning
neural network
Xarxes neuronals (Informàtica)
Universitat Politècnica de Catalunya

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