<p>This problem is known as "style transfer". 
The field was started by <a href="https://arxiv.org/pdf/1508.06576.pdf" rel="nofollow noreferrer">Gatsys et al. in 2016</a>, and has seen a lot of work over the last few years, including conditional translation from <a href="https://arxiv.org/abs/1611.07004" rel="nofollow noreferrer">Isola et al. in 2017</a> and unpaired translation from <a href="https://arxiv.org/pdf/1703.10593.pdf" rel="nofollow noreferrer">Zhu et al. 2017</a>.</p>

<p>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.</p>

<p><a href="https://i.sstatic.net/jNCf2.jpg" rel="nofollow noreferrer"><img src="https://i.sstatic.net/jNCf2.jpg" alt="enter image description here"></a></p>

CC BY-SA 4.0
2020-04-12T19:50:28.900Z
2020-04-12T20:00:39.897Z
2020-04-12T20:00:39.897Z
Chris Cundy
<p>Simplified: <em>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?</em> 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 <em>is</em> comes from One, the <em>seems</em> comes from Two.</p>

<p>For more coarse and obvious examples:</p>

<ul>
<li>"Compose synthpop in the style of Beethoven"</li>
<li>"Draw impressionism in the style of Mondrian"</li>
<li>"Generate casserole recipes using only ingredients most likely to fluctuate in price given current market data"</li>
<li>"Sketch baseballs that look like they're made of espresso foam"</li>
</ul>

CC BY-SA 4.0
2020-04-12T03:29:16.813Z
[Style Transfer](https://www.tensorflow.org/tutorials/generative/style_transfer)
Chris Cundy
<neural-networks><machine-learning><terminology>
What is it called in AI when a program is designed to make "x in the style of y"?
JohnnyApplesauce
# What is it called in AI when a program is designed to make "x in the style of y"?

(Asked by: username_0 on 2020-04-12)

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"

**Tags:** neural-networks, machine-learning, terminology

> **Comments:**
> **username_1**: [Style Transfer](https://www.tensorflow.org/tutorials/generative/style_transfer)  

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## 1 answers

### Answer by username_1 on 2020-04-12. Score: 2 | Accepted answer

This problem is known as "style transfer".
The field was started by [Gatsys et al. in 2016](https://arxiv.org/pdf/1508.06576.pdf), and has seen a lot of work over the last few years, including conditional translation from [Isola et al. in 2017](https://arxiv.org/abs/1611.07004) and unpaired translation from [Zhu et al. 2017](https://arxiv.org/pdf/1703.10593.pdf).

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](https://i.sstatic.net/jNCf2.jpg)](https://i.sstatic.net/jNCf2.jpg)


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