We present a novel technique to automatically colorize grayscale images that combines
both global priors and local image features. Based on Convolutional Neural Networks, our …

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 …

Manga (Japanese comics) are popular worldwide. However, current e-manga archives offer
very limited search support, ie, keyword-based search by title or author. To make the manga …

Recently, there have been several promising methods to generate realistic imagery from
deep convolutional networks. These methods sidestep the traditional computer graphics …

Colorizing line art is a pivotal task in the production of hand-drawn cel animation. This
typically involves digital painters using a paint bucket tool to manually color each segment …

We propose the first video diffusion framework for reference-based lineart video colorization.
Unlike previous works that rely solely on image generative models to colorize lineart frame …

Sketch or line art colorization is a research field with significant market demand. Different
from photo colorization which strongly relies on texture information, sketch colorization is …

Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …

Image colorization is inherently an ill-posed problem with multi-modal uncertainty. Previous
methods leverage the deep neural network to map input grayscale images to plausible color …

Flat filling is a critical step in digital artistic content creation with the objective of filling line
arts with flat colors. We present a deep learning framework for user-guided line art flat filling …