All Questions
Tagged with deep-learninggenerative-adversarial-networks
63 questions
0votes
0answers
179views
How to properly train a GAN model?
I tried to train a ViT-GAN model (from this repo) on my database, where i have images as input and output. The input image is a PNG map of a path planning problem. Red channel is obstacle map, green ...
1vote
1answer
28views
Image Augmentation for Leaf Disease Detection: Training or Testing?
I am working on a leaf disease detection project and evaluating different strategies for augmenting the existing dataset to improve model performance. However, I am facing some confusion. Should I ...
0votes
1answer
31views
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_{...
5votes
1answer
858views
How can the discriminator determine the sample is fake or real?
Based on the articles I've read, the discriminator can identify whether a sample is fake or real. However, the articles don't clarify the conditions used to determine if a sample is fake or real. I ...
user79662
2votes
1answer
193views
What are meaning of parameters $\theta$ in this context?
I'm reading the article about generative model from Open AI, here is the section where they explain them: Our network is a function with parameters $\theta$, and tweaking these parameters will tweak ...
user79662
1vote
1answer
269views
Do I understand the technology of AI upscaling of films and cartoons correctly?
With the help of artificial intelligence, it is possible to increase the resolution of images that are initially low resolution, bringing it to ultra-high resolution. Also, initially static images are ...
- 239
1vote
1answer
138views
Do GANs have constant running time?
After the model is trained, you just need to input random noise and the generator will output an image, does this mean GANs have constant running time ? I'm asking about both naïve GAN and variants of ...
user78202
1vote
2answers
292views
The training process of a conditional GAN
For example, consider a dataset like MNIST. I give the conditional vector to produce only the number $7$ for both the generator and discriminator. In the following scenarios, what will the ...
user77925
0votes
1answer
478views
In the conditional GAN (cGAN) architecture, why does the discriminator need conditional variable?
I'm reading about conditional GAN (cGAN) architecture, what I know is that the generator creates images combining both noise vector and conditional variable, the noise vector brings in random elements ...
user77925
1vote
1answer
233views
Comparison of the two alternative forms for the KL divergence [closed]
On page 468 of 'Pattern Recognition and Machine Learning', what does 'the same variables given by the product of two independent univariate Gaussian distributions' mean? The PDF says, The green ...
0votes
1answer
499views
Why does the critic of WGAN-GP run more steps than the generator?
As noted in the paper introducing WGAN-GP (see the pseudo-code), for each minibatch of data, the generator's weights are updated only once, and the critic (or discriminator) is updated multiple times. ...
0votes
1answer
67views
Query regarding the minimax value function of GANs
In the book Generative AI with Python and TensorFlow 2 from Babcock and Bali (page 172), it is stated that the value function of a GAN is the following: where D(x) is the output of the discriminator ...
-2votes
1answer
80views
I'd like some suggestions on how to effectively master machine learning. I'm new to this and I'm kinda lost [closed]
Thing is, I got a lot of resources to learn from and I have no idea which ones will be the most effective, and where to start. I've come across 2 kinds of books, the ones which talk about the ...
0votes
1answer
184views
Keypoint generation in 3D point clouds with Deep Learning
I have a huge dataset of 3D point clouds (each point consists of X,Y,Z coordinates) and another dataset with keypoints (also X,Y,Z) which lie on quite recognizable structures in the point cloud. As a ...
- 1
1vote
0answers
401views
How can I solve the blurring problem in GAN generated images?
In my project I work in dresses dataset. I can solve the problem of black pixels but blurring still existed. I tried many computer vision filters like median filter, Biliteral filter, Sharpen methods ...
