Super Resolution Image NN

I want a simple NN that Is able to transform a Low Resolution image to high resolution image.

The dataset has both type of image, LR, and HR.

I'm not interested in very high performance... Instead I need 3 type of NN.

1 By using SCNN approach.

2. By using Variational Autoencoders

3. By using Gan.

I will repeat that I'm not interested in very high performance...

But what I will see is the difference from the generated image to the HR image.

I need only 1 notebook file.

Tec. Required:

Python, Keras, Tensor Flow.

The model used into one step can be used also in the other one. I mean the model used for SCNN can also be integrated into VAR or GAN.

I don't want no image preprocessing.

But very simple model able to do this job.

They are only for presentation purpose

Квалификация: Keras, Neural Networks, Python, Tensorflow

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О работодателе:
( 0 отзыв(-а, -ов) ) Italy

ID проекта: #18505500

14 фрилансеров(-а) в среднем готовы выполнить эту работу за €149


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