Questions tagged [image-generation]

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What is the state-of-the-art algorithm for neural style transfer?

I've read the paper A Neural Algorithm of Artistic Style by Gatys et. al. and I find the application of neural style transfer very fun. I also read that Exploring the structure of a real-time, ...
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37 views

How to match faces with images in ID proofs

I'm working on a problem to identify whether a person's image matches with the one in his ID proof. The inputs are the real-time face image and scanned ID proof. Options that I'm thinking of Prepare ...
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Concrete example of how transposed convolutions are able to *add* features to an image

Say we have a simple gray scale image. If we use a filter which is just the 3x3 identity matrix (or more pointedly the identity matrix but with -1 instead of the 0 entries), it is fairly easy to see ...
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51 views

Is Reinforcement Learning what I need for this image to image translation problem?

I have a paired dataset of binary images A and B: A1 paired with B1, A2-B2, etc., with simple shapes (rectangles, squares). The external software receives both images A and B and it returns a number ...
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How can I build a model that replaces a feature of one image with another feature?

I would like to build a neural network (using TensorFlow) that is able to take two animals, and replace a feature in the second with one in the first. For example, if given a dog and cat, the cat's ...
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28 views

Banding artifacts in CNN

I was working on a CNN for HDR image generation from LDR images. I used an encoder-decoder architecture and merged the input with the decoder output. However I'm getting some banding artifacts in the ...
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How would one modify CycleGAN in order to map a distribution to itself?

CycleGAN can map between two different distributions $X$ and $Y$ with cycle consistency. This is done with generator functions $F: X \mapsto Y$ and $G: Y \mapsto X$, such that $||G(F(x)) - x||_1 \...
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Solution for 'mixing' images

I want to feed the Neural Net with examples of three images: 2 input and one output-result. Net shold learn by those examples and then generate the appropriate "mixes" for new pairs of pics. Is there ...
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AI for creating random 2D contour lines based on learnt images

I am new to AI and want to expand into this field. For our software we often could use a virtual device which generates 2D point data (a contour of some assembly part). Hypothetically using a set of ...
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33 views

Suggestion on image inpainting algorithm

Currently, many algorithms are available for image inpainting. In my application, I have some special restriction on training dataset- Let's consider the training dataset of human facial images. ...
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48 views

Best architecture to learn image rotation?

Given an input image and an angle I want the output to be the image rotated at the given angle. So I want to train a neural network to do this from scratch. What sort of archetecture do you think ...
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1answer
72 views

How can I generate unique random patterns (similar to the ones in Nutella jars)?

How can I generate unique patterns, as they did for these Nutella jars? See, for example, the video Algorithm designs seven million different jars of Nutella.
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Is it feasible to use GAN for high-quality image synthesis other than human faces?

The famous Nvidia paper Progressive Growing of GANs for Improved Quality, Stability, and Variation, the GAN can generate hyperrealistic human faces. But, in the very same paper, images of other ...
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Train AI with shapes + drop shadows to remove background colors

for a screen printing app, I'd like to remove background colors from images. There is still a white border around text from anti-aliasing. Dropshadows also break it. So, I was thinking I could train ...
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85 views

What makes GAN or VAE better at image generation than NN that directly maps inputs to images

Say a simple neural network's input is a collection of tags (encoded in some way), and the output is an image that corresponds to those tags. Say this network consists of some dense layers and some ...
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103 views

Does MMD-VAE solve the problem of blurred images of vanilla VAEs?

I understand that with vanilla VAEs, there are a few reasons justifying the production of blurred out images. The InfoVAE paper describes the case when the decoder is flexible enough to ignore the ...
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104 views

Context-based gap-fill face posture-mapper GAN

These images are handmade, not auto-generated like they will be in production. Apologies for inaccuracies in the graph overlay. I am trying to build an AI like that displayed in the diagram: when ...
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30 views

How we can keras.Imagedatagenerator from csv file? [closed]

How we can use Imagedatagenerator to produce images if we have a folder with a name "train" which contain all the images of every classification( folder contains mixed images). And we have one csv ...
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1answer
39 views

How to generate the original image from feature set?

We all know that using CNN, or even simpler functions, like CLD or EHD, we can generate a set of features out of images. Is there any ways or approaches that given a set of features, we can somehow ...
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1answer
61 views

If the goal of training of a GAN is to have $P_g=P_{data}$, shouldn't this produce the exact same images?

Referring to the blog, Image Completion with Deep Learning in TensorFlow, it clearly says that we would want a generator $g$ whose modeled distribution fits our dataset $data$, in other words, $P_{...
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Other deep learning image generation techniques besides GANs?

Can you please point me to some resources about image genereation besides GANs? Are there any other techniques throughout history? How did idea of image generation evolved and how it started? I tried ...
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How do GANs create an image with specific characteristics?

I've seen GANs that do things like convert an image to a painting or this GAN here https://make.girls.moe/#/ that takes in a set of characteristics and generates a waifu with those characteristics. ...
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1answer
88 views

beautify an image with reinforcement learning

I am trying to formulate and solve the following problem of image mutation. Suppose I am trying to insert an object image into a "background" image of several objects, and I will need to look for a "...
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1answer
155 views

Algorithm that creates new images based on other images

Are there any open sourced algorithms that can take a couple of images as an input and generate a new, similar image based on that input? Or are there any resources where I can learn to create such an ...
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How to debug and find neurons that most influenced a pixel in the output image?

I'm building CNN network of Image to Image. After training, I have some bad results in part of the Image. I would like to find the neurons that most influenced those pixels and do retraining only ...
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345 views

Use Image data from Drive to Colab for Image Augmentation [closed]

I am working on CNN. I have saved images in drive to do image augmentation in keras, I have used method (.flow_from_directory(directory)) Since it require directory path. I have mounted drive and give ...
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Maximum number of nodes for CNN for mobile phones

I am building a mobile camera app that needs to show a real time preview of the processed image. So i was thinking of reducing the image size to 100 x 100. But as for the weights and number of layers. ...
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How would an AI visualize a story written in natural language?

Can AI transform natural language text describing real scenarios to visual images and videos ? How does as AI interprets say a Harry Potter story if it has to reproduce it in form of videos ? Would be ...
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1answer
45 views

Creating videos of AI generated photographs

I came across this article today: These faces show how far AI image generation has advanced in just four years. I would never in a million years have guessed that the people on the right (in the first ...