Colorization Transformer

Understand

We present the Colorization Transformer, a novel approach for diverse high fidelity image colorization based on self-attention.

• Given a grayscale image, the colorization proceeds in three steps.
• We first use a conditional autoregressive transformer to produce a low resolution coarse coloring of the grayscale image.
• Our architecture adopts conditional transformer layers to effectively condition grayscale input.