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Aesthetics of images has a strong subjective element and possibility of multiple dimensions depending on purpose of the media. That means: It is hard to define what we mean by scoring aesthetics. Given any well-constrained definition, it is then time-consuming to collect relevant data. However, there is some interest in the machine-learning community, as ...


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You need to define a scoring function, which returns a value of whatever criterion you are interested in, be it 'artisticity' or 'heat'. This could be something you use a machine learning algorithm for, provided you have a set of training data with labelled images. You then need to extract features from the images. In the case of 'heat' this could be a ...


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I'm not an expert on that so you could probably get a better answer. I'm not sure to understand what you're looking for. Are the couple of images about the same thing? Like pictures of cats and you want to generate a new cat based on these pictures? If that's what you want, you could probably take a look at Generative Adversarial Network (GAN) : ...


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My feeling is that, because you are dealing with a subject that his highly subjective, you need to integrate whatever learning algorithm you use with human feedback. This is to say, crowdsource human opinions on a data set of pictures, train the algorithm to try to intuit what qualities images with similar human rankings share. (Both the positive and ...


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I think the real problem is, what defines a more artistic image? It's really subjective, I think complexity of the work might be one aspect to consider but still a subjective one, you might want to make the purpose of your ML algorithm more objective or defined. But then again, It's just my opinion


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