generative-adversarial-network Questions
3
I have generated a music file for the first time. The music file type is "IPython.lib.display.Audio". I wanted to export it from colab to my local drive.I couldn't find any solution from google. Pl...
Glossary asked 25/12, 2019 at 22:41
3
I was looking at CycleGAN's official pytorch implementation and there, author chained the parameters of both networks and used a single optimizer for both network. How does this work? Is it better ...
Haddock asked 17/5, 2020 at 3:10
3
Solved
I am using pytorch-1.5 to do some gan test. My code is very simple gan code which just fit the sin(x) function:
import torch
import torch.nn as nn
import numpy as np
import matplotlib.pyplot as pl...
Lubbock asked 28/5, 2020 at 9:47
1
I have the following goal, which I have been trying to achieve with the Huggingface Library but I encountered some roadblocks.
The Problem:
I want to generate sentences in a differentiable way at t...
Spelling asked 24/6, 2020 at 23:16
2
I have trained a GAN to reproduce CIFAR10 like images. Initially I notice all images cross one batch produced by the generator look always the same, like the picture below:
After hours of debuggin...
Matherly asked 3/12, 2020 at 8:15
2
I am working on an OCR system. A challenge that I'm facing for recognizing the text within ROI is due to the shakiness or motion effect shot or text that is not focus due to angle positions. Please...
Borehole asked 12/11, 2020 at 17:41
1
I would like to fine tune a pre-trained GAN available online using my own images. For example, BigGAN, which was trained on ImageNet, can generate realistic images. However, I do not want to genera...
Clannish asked 27/9, 2021 at 11:6
2
I'm trying to create GAN model.
This is my discriminator.py
import torch.nn as nn
class D(nn.Module):
feature_maps = 64
kernel_size = 4
stride = 2
padding = 1
bias = False
inplace = True
de...
Orenorenburg asked 24/8, 2021 at 8:49
1
Solved
I am trying to implement the Unrolled GAN model as described here, with example code. However, it was implemented using TF1, and I have been doing my best to update it but I am relatively new to py...
Hemistich asked 9/6, 2021 at 10:14
1
I created a simple DCGAN with 6 layers and trained it on CelebA dataset (a portion of it containing 30K images).
I noticed my network generated images are dimmed looking and as the network trains m...
Recover asked 19/7, 2019 at 20:18
5
Solved
I am new to GAN. I am learning to model GAN to generate images,however I don't really understand what exactly is the random noise given to the generator. Is it random numbers from 0 to 1 and what s...
Eskilstuna asked 5/3, 2020 at 20:54
2
Solved
I'm currently training a WGAN in keras with (approx) Wasserstein loss as below:
def wasserstein_loss(y_true, y_pred):
return K.mean(y_true * y_pred)
However, this loss can obviously be negative...
Tradescantia asked 19/7, 2019 at 1:58
0
Im currently working on 3D-GAN with FMRI Datasets.I referred the codes from github , https://github.com/cyclomon/3dbraingen/blob/master/VAEGAN_ADNI_train.ipynb
And the error that I have never seen ...
Measles asked 22/2, 2021 at 6:56
1
Solved
I'm tried to implement basic GAN in Keras, based on this implementation.
If I sample points on parabola GAN is converges and able to produce samples from this distribution, but if for example I sam...
Baten asked 14/2, 2021 at 5:18
1
Solved
Introduction:
I am trying to get a CDCGAN (Conditional Deep Convolutional Generative Adversarial Network) to work on the MNIST dataset which should be fairly easy considering that the library (PyTo...
Recompense asked 26/2, 2020 at 19:47
2
Solved
I installed the mtcnn package, as can be seen:
# confirm mtcnn was installed correctly
import mtcnn
# print version
print(mtcnn.__version__)
Result:
0.0.9
Then I use the following:
# prepare...
Nonprofessional asked 15/8, 2019 at 20:14
1
Solved
I am trying to implement StyleGAN with TensorFlow version 2 and I have no idea how to do an equalized learning rate. I tried to scale gradients this way:
def equalize_in_list(datalist):
for i in r...
Hushaby asked 31/1, 2020 at 23:0
2
In my understanding an epoch is an arbitrarily often repeated run over the whole dataset, which in turn is processed in parts, so called batches. After each train_on_batch a loss is calculated, the...
Affirmatory asked 5/1, 2019 at 16:23
2
I would like to change the input and output signatures of the model saved, I used tf.Module objects to build the operations of the main model.
class Generator(tf.Module):
def __init__(....):
sup...
Correspondent asked 2/12, 2019 at 15:27
1
Solved
I am attempting to train a GAN to learn the distribution of a number of features in an event. The Discriminator and Generator trained have a low loss but the generated events have different shaped ...
Lederer asked 12/3, 2020 at 16:26
2
Solved
I am working on WGAN and would like to implement WGAN-GP.
In its original paper, WGAN-GP is implemented with a gradient penalty because of the 1-Lipschitiz constraint. But packages out there like ...
Trill asked 6/11, 2019 at 5:51
0
I am trying to save a GAN model so that I can continue the training later.
Basically I am saving the discriminator and generator separately after the training loop, with these commands:
discrimin...
Overabound asked 22/1, 2020 at 11:6
2
Solved
I have been playing around with StyleGAN and I have generated a dataset but I get the following when I try to run train.py.
Output:
C:\Users\MyName\Desktop\StyleGan\stylegan-master>python train....
Scramble asked 8/1, 2020 at 21:38
1
Solved
Recently I read a paper and they cited these two problems when training GANs. I know about mode collapsing, where the generator produces a limited varieties of samples, however I did not find a goo...
Dissolute asked 19/6, 2019 at 14:39
1
I am working with code from here (paper here) that creates a GAN. I am trying to apply this to a new domain, switching from their application on MNIST to 3D brain MRI images. My issue is in the def...
Duero asked 10/7, 2019 at 14:50
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