<p>I think you are looking for GAN(Generative Adversarial Networks) which is proposed in <a href="https://arxiv.org/abs/1406.2661" rel="nofollow noreferrer">this paper</a>. </p>

<p>GAN are the type of algorithm which contains two different model so that one model named Discriminator tries to learn to determine if it's input data comes from the data set or not and the other one named Generator tries to learn how to generate data so that the Discriminator wrongly recognize that it comes from the data set.</p>

<p><a href="https://i.stack.imgur.com/nmHEV.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/nmHEV.jpg" alt="enter image description here"></a></p>

<p>You can find more details from the following links:</p>

<p><a href="https://searchenterpriseai.techtarget.com/definition/generative-adversarial-network-GAN" rel="nofollow noreferrer">generative adversarial network (GAN)</a></p>

<p><a href="https://blog.statsbot.co/generative-adversarial-networks-gans-engine-and-applications-f96291965b47" rel="nofollow noreferrer">Generative Adversarial Networks (GANs): Engine and Applications</a></p>

<p><a href="https://towardsdatascience.com/gan-by-example-using-keras-on-tensorflow-backend-1a6d515a60d0" rel="nofollow noreferrer">GAN by Example using Keras on Tensorflow Backend</a></p>
How to generate new image using deep learning, from new features
<p>If i have a dataset consisting by a list of images each associated with a series of features; there is a model that, once trained, generates new images upon entering a new list of features?</p>