generative adversarial networks - Why use the output of the generator ...
I believe the use of the generator output is to do with removing artifacting in the output, where say, 'truck like' images are recognized by the discriminator, but you want the discriminator to reject images …
generative adversarial networks - Is it feasible to use GAN for high ...
Jan 29, 2020 · Generative Adversarial Networks, basically boil down to a combination of a generic Generator and a Discriminator trying to beat each other, so that the generator tries to generate much …
generative adversarial networks - How to prevent vanishing/exploding ...
Feb 23, 2023 · Explore related questions generative-adversarial-networks mini-batch-gradient-descent vanishing-gradient-problem See similar questions with these tags.
neural networks - Do GANs come under supervised learning or ...
The terms Supervised Learning and Unsupervised Learning predate the invention of the application of artificial networks to a generative and discriminative network pair, which was the first popular …
generative adversarial networks - Converting RGB images to Thermal ...
Feb 19, 2023 · I can convert to either near infrared spectrum images or far infrared spectrum image. I am planing on using Generative networks for the task, specifically Pix2Pix. For training GAN, there …
Why is my GAN more unstable with bigger networks?
Jan 26, 2021 · 10 I am working with generative adversarial networks (GANs) and one of my aims at the moment is to reproduce samples in two dimensions that are distributed according to a circle (see …
generative adversarial networks - What is the intuition behind the ...
Apr 26, 2023 · generative-adversarial-networks generative-model regularization labels Share Improve this question edited Apr 26, 2023 at 8:46
generative adversarial networks - Can StyleGAN be refined without a ...
Jun 20, 2020 · I think transfer learning means solving another problem. My problem at hand is that I would like to use stylegan to generate images of people that are similar to a given input set (that may …
generative adversarial networks - GAN with multiple discriminators ...
Dec 15, 2022 · MD-GAN (multi-Discriminator Generative Adversarial Networks for Distributed Datasets ) would be among the ones that you might be looking for. It has been proposed a while ago now. This …
Why different noise in GAN generate different images?
Mar 12, 2024 · Let's take this apart. GANs stand for Generative Adversarial Networks. Your question is how GANs are generative (the G part of the name). For this we need to understand what they try to …