Colorization Transformer

Overview of Colorization Transformer Colorization Transformer is a complex probabilistic model used to add color to black and white images. A global receptive field with only two layers and a reduced complexity of $O(D\sqrt{D})$ instead of $O(D^2)$ are the main benefits of colorization transformer's axial self-attention blocks. To perform colorization on high-resolution grayscale images, the process is split into three simpler sequential tasks using a variation of Axial Transformer. What is C