Image-to-image translation (I2I) aims to transfer images from a source domain to a target
domain while preserving the content representations. I2I has drawn increasing attention and …

Supervised image-to-image translation has been proven to generate realistic images with
sharp details and to have good quantitative performance. Such methods are trained on a …

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 …

Abstract Generative Adversarial Networks (GANs) have made a dramatic leap in high-fidelity
image synthesis and stylized face generation. Recently, a layer-swapping mechanism has …

In this paper, we present a general-purpose solution to cartoon image synthesis with
unpaired training data. In contrast to previous works learning pre-defined cartoon styles for …

Manga is a fashionable Japanese-style comic form that is composed of black-and-white
strokes and is generally displayed as raster images on digital devices. Typical mangas have …

Recent studies show strong generative performance in domain translation especially by
using transfer learning techniques on the unconditional generator. However, the control …

Facial style transfer has been quite popular among researchers due to the rise of emerging
technologies such as eXtended Reality (XR), Metaverse, and Non-Fungible Tokens (NFTs) …

Facial perception and cognition are among the most critical functions of retinal prostheses
for blind people. However, owing to the limitations of the electrode array, simulated …

Converting a human portrait to anime style is a desirable but challenging problem. Existing
methods fail to resolve this problem due to the large inherent gap between two domains that …