Deep generative models are an important term in the fields of artificial intelligence, big data, smart data and digital transformation. They describe a special type of artificial intelligence that is able to "invent" new data. This can be, for example, images, texts, voices or even pieces of music that look or sound as if they were created by a human.
The special thing about deep generative models is that they are fed with lots of sample data, for example thousands of photos, and learn to recognise typical patterns. This results in a kind of "creativity" with which the model can create new, completely unique content.
An illustrative example: with the help of a deep generative model, designers can create a large number of new, realistic-looking product images from just a few photos of furniture. This saves enormous costs for photo shoots and enables new design ideas to be developed quickly.
Deep generative models are revolutionising many industries thanks to their ability to create completely new content. They are used in marketing, for example, to create customised advertising images or help companies to gain new insights from large amounts of data.
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