This paper tackles the automatic colorization task of a sketch image given an already-
colored reference image. Colorizing a sketch image is in high demand in comics, animation …

We propose the first deep learning approach for exemplar-based local colorization. Given a
reference color image, our convolutional neural network directly maps a grayscale image to …

Image colorization is a classic and important topic in computer graphics, where the aim is to
add color to a monochromatic input image to produce a colorful result. In this survey, we …

The colorization of grayscale images is an ill-posed problem, with multiple correct solutions.
In this paper, we propose an adversarial learning colorization approach coupled with …

This paper presents the first end-to-end network for exemplar-based video colorization. The
main challenge is to achieve temporal consistency while remaining faithful to the reference …

We describe an automated method for image colorization that learns to colorize from
examples. Our method exploits a LEARCH framework to train a quadratic objective function …

The objective of colour map** or colour transfer methods is to recolour a given image or
video by deriving a map** between that image and another image serving as a reference …

Colorization is multimodal by nature and challenges existing frameworks to achieve colorful
and structurally consistent results. Even the sophisticated autoregressive model struggles to …

Given a grayscale photograph, the colorization system estimates a visually plausible colorful
image. Conventional methods often use semantics to colorize grayscale images. However …

We propose a framework for automatic colorization that allows for iterative editing and
modifications. The core of our framework lies in an imagination module: by understanding …