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Specify Output Class For GAN Image Generator

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In MATLAB's 'Train Generative Adversarial Network' example, the final step is to generate new images using the predict function and the following code.
%% Generate New Images
numObservations = 25;
ZNew = randn(numLatentInputs,numObservations,'single');
dlZNew = dlarray(ZNew,'CB');
if (executionEnvironment == "auto" && canUseGPU) || executionEnvironment == "gpu"
dlZNew = gpuArray(dlZNew);
dlXGeneratedNew = predict(dlnetGenerator,dlZNew);
I = imtile(extractdata(dlXGeneratedNew));
I = rescale(I);
axis off
title("Generated Images")
The example produces a random sample of 25 images from 5 classes. I want to modify this to request one image from a specific class. For example, generate 5 images for the 'Dandilion' class. Can someone help me understand if it's possible to request specific generator outputs like this? Thanks in advance.

Accepted Answer

Mahesh Taparia
Mahesh Taparia on 21 Apr 2021
You can possibly try with conditional GAN to generate images of a particular class. For more information, you can refer this documentation of conditional GAN. You can refer here for image generation.
Nagwa megahed
Nagwa megahed on 13 Sep 2021
Thanxs for your comment , can i ask you aquestion according to GAN ?
I hope to find the answer with you
how can i save the synthetic images( the generated images by GAN) in the disk space,
in other words, how can i save these images in a folder to use it in training a deep network ?
the example here , doesn't show the way

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