Abstract We consider medical image transformation problems where a grayscale is transformed into color image. The colorized should have the same features as input because extra synthesized can increase possibility of diagnostic errors. In this paper, to secure images and improve quality images, well leverage unpaired training data, colorization network proposed based on cycle generative adversa...

Unsupervised deep learning has recently demonstrated the promise to produce high-quality samples. While it tremendous potential promote image colorization task, performance is limited owing high-dimension of data manifold and model capability. This study presents a novel scheme that exploiting score-based generative in wavelet domain address issue. By taking advantage multi-scale multi-channel ...

This paper provides a new method to colorize gray-scale images. While the reverse operation is only a matter of standard, the colorization process is an ill-posed problem that requires some priors. In the literature two classes of approach exist. The first class includes manual methods that needs the user to manually add colors on the image to colorize. The second class includes exemplar-based ...

Sketch-to-image (S2I) translation plays an important role in image synthesis and manipulation tasks, such as photo editing colorization. Some specific S2I translations, including sketch-to-photo sketch-to-painting, can be used powerful tools the art design industry. However, previous methods only support with a single level of density, which gives less flexibility to users for controlling input...