Understanding Aesthetics with Deep Learning
Originally shared by Ward Plunet
Understanding Aesthetics with Deep Learning
The question then to ask is what do the master photographers’ images have in common, and what separates them from the amateur images? While it’s difficult for a computer to answer a philosophical question, if we express the question in mathematical terms we can attempt to solve it computationally. In our case, we aim to find a mathematical space in which the distance between the two images that are aesthetically pleasing is less than the distance between an aesthetically pleasing one and a mediocre one, as Figure 1 shows.
https://devblogs.nvidia.com/parallelforall/understanding-aesthetics-deep-learning/
Understanding Aesthetics with Deep Learning
The question then to ask is what do the master photographers’ images have in common, and what separates them from the amateur images? While it’s difficult for a computer to answer a philosophical question, if we express the question in mathematical terms we can attempt to solve it computationally. In our case, we aim to find a mathematical space in which the distance between the two images that are aesthetically pleasing is less than the distance between an aesthetically pleasing one and a mediocre one, as Figure 1 shows.
https://devblogs.nvidia.com/parallelforall/understanding-aesthetics-deep-learning/
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