This is a custom class for the colorization model, inheriting from nn.Module, the base class for all neural networks in PyTorch. The constructor defines the layers for both the encoder (downsampling) ...

Autoencoder-image-colorization. The "colorization of grey scale images using autoencoders" project is a machine learning project that involves using unsupervised learning algorithms, specifically ...

In this paper, we improve the temporal consistency through feature correction and propose an interactive video colorization network called MCVCNet. To this end, we propose maintaining a set of memory ...

Two basic models, the GANand Autoencoder models, are designed to color black-and-white pictures. The purpose is to compare the color data and methods of black-and-white pictures obtained by the two ...

Deep generative models are attracting great attention as a new promising approach for molecular design. A variety of models reported so far are based on either a variational autoencoder (VAE) or a ...