The future of work and workplace is very much in flux. A vast amount has been written about
artificial intelligence (AI) and its impact on work, with much of it focused on automation and …

Text-to-Image diffusion models have made tremendous progress over the past two years,
enabling the generation of highly realistic images based on open-domain text descriptions …

This paper presents an unpaired method for creating line drawings from photographs.
Current methods often rely on high quality paired datasets to generate line drawings …

With the rapid development of cartoon industry, various studies on two-dimensional (2D)
cartoon have been proposed for different application scenarios, such as quality assessment …

In the animation industry, cartoon videos are usually produced at low frame rate since hand
drawing of such frames is costly and time-consuming. Therefore, it is desirable to develop …

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 …

In this paper we propose an attentive recurrent generative adversarial network (ARGAN) to
detect and remove shadows in an image. The generator consists of multiple progressive …

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 …

Line art colorization is expensive and challenging to automate. A GAN approach is
proposed, called Tag2Pix, of line art colorization which takes as input a grayscale line art …

We aim to address a significant but understudied problem in the anime industry, namely the
inbetweening of cartoon line drawings. Inbetweening involves generating intermediate …