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Dec 1, 2022 · This article gives a practical use-case of Autoencoders, that is, colorization of gray-scale images. We will use Keras to code the autoencoder. As we all know, that an AutoEncoder has two main operators:

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Image colorization using autoencoders is an innovative approach that infuses grayscale images with vibrant hues. Autoencoders, a type of neural network, learn to encode and decode images, forming an internal representation of input data. The aim of this project is to automatically add color to grayscale images using an autoencoder architecture.

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The "colorization of grey scale images using autoencoders" project is a machine learning project that involves using unsupervised learning algorithms, specifically autoencoders, to add color to grayscale images.

Apr 15, 2020 · I am trying to create a Deep Fake using an autoencoder. I use one encoder and two decoders: one for the target image, and another for the source image (the target-face is the face I want to “paste” on the sources head).