1
$\begingroup$

Simplified: What is it called in AI when a program is designed to make "x in the style of y;" when it trains off of two types of sources in order to make a thing from source one, informed by features from source two? For example, if a network made up of two smaller networks were to take sheet music of a specific compositional style in network A and audio samples from a certain genre in B and through an interface creates music from a certain genre in a certain compositional style; the is comes from One, the seems comes from Two.

For more coarse and obvious examples:

  • "Compose synthpop in the style of Beethoven"
  • "Draw impressionism in the style of Mondrian"
  • "Generate casserole recipes using only ingredients most likely to fluctuate in price given current market data"
  • "Sketch baseballs that look like they're made of espresso foam"
Improve this question
$\endgroup$
1

1 Answer 1

Reset to default
2
$\begingroup$

This problem is known as "style transfer". The field was started by Gatsys et al. in 2016, and has seen a lot of work over the last few years, including conditional translation from Isola et al. in 2017 and unpaired translation from Zhu et al. 2017.

This picture (Figure 2 from Gatsys et al.) shows the idea behind style transfer, and illustrates the dramatic results that are possible with these models.

enter image description here

Improve this answer
$\endgroup$

You must log in to answer this question.

Not the answer you're looking for? Browse other questions tagged .