Questions tagged [dc-gan]
8 questions
1
vote
0 answers
How exactly do you backpropagate the gradient penalty in WGAN-GP?
I am trying to implement WGANs from scratch.
The loss function for the critic is given by :
which i implement in my code as L = average(real output) - average(fake output) + lambda*GP.
For calculating GP, i just backpropagated ones in the critic to…
hidden_machine
- 111
- 2
1
vote
1 answer
What are alternatives to Inception Score? Can it be used for non-photographic image types?
Most online sources recommend using versions of the Inception score to evaluate the synthetic images generated by a GAN. These scores are pre-trained on the InceptionV3 model. Does this mean that images need to have similar properties to those in…
ThreeOrangeOneRed
- 11
- 1
1
vote
0 answers
How can I produce crossbred images out of two datasets?
I'm very new to AI and deep learning. So my question is going to be very basic.
I'm trying to understand which approach I would need to use to cross-breed set of images. Let's say I'm having dataset of cats and dataset of human faces and as output I…
Nerver Corameiro
- 11
- 2
0
votes
1 answer
Can a GAN Produce Different Inception Scores with the Same Dataset and Noise?
If the dataset, shuffle, and noise are all kept the same, is it possible for the same GAN to give different Inception Scores each time?
odbhut.shei.chhele
- 101
- 1
0
votes
1 answer
What is $z|y$ in Conditional Adversarial Nets?
I am currently going through Conditional Adversarial Nets (CGANs) and the modified objective function of the two-player minimax game is stated as follows:
$$\min_G \max_D V(D, G)=\mathbb E_{x\sim p_{data}(x)}[\log D(\textbf x|\textbf y)] + \mathbb…
insipidintegrator
- 143
- 6
0
votes
1 answer
Does the Weights of Discriminator get updated when traning Generators in GANs?
When we train the GAN we usually train the discriminator first then the generator, first we stop the generator from updating its weight by removing it from the computation graph, using…
Don Feto
- 103
- 3
0
votes
0 answers
Possible improvements to WGAN-GP output images
I am mapping rather complex data into what essentially amounts to a greyscale image to take better advantage of GANs for generative means. Here is an example of some real data:
All real data is of the same shape (108 across x 12 high), with an…
Zintho
- 1
- 1
0
votes
1 answer
How is the latent vector transforming to a feature map in DCGAN (Generator structure)?
I'm working on the code trying to generate new images using DCGAN model. The structure of my code is from the PyTorch tutorial here.
I'm a bit confused trying to find and understand how the latent vector is transforming to the feature map from the…
CapJS
- 3
- 3