Abstract Recent advances in Deep Learning have largely benefited from larger and more
diverse training sets. However, collecting large datasets for medical imaging is still a …

Skin type classification is important because it provides guidance for professionals and
consumers to recommend and select the most appropriate cosmetic products and skin care …

Facial beautification induced by plastic surgery, cosmetics or retouching has the ability to
substantially alter the appearance of face images. Such types of beautification can …

Automatic facial beauty assessment is an emerging research area with various applications.
Modeling beauty objectively is an extremely challenging task, mainly due to the lack of a …

We present a novel architecture for manipulating facial expressions, head poses, and
lighting conditions from a single monocular image. Recent methods based on Generative …

Face beautification is an emerging application widely used in the entertainment industry.
Previous studies have proved that Generative Adversarial Networks (GANs) can …

Artificial Intelligence (AI) has surpassed dermatologists in skin cancer detection, but
dermatology still lags behind radiology in its broader adoption. Building and using AI …

In this paper, we present an empirical study introducing a nuanced evaluation framework for
text-to-image (T2I) generative models, applied to human image synthesis. Our framework …

While there have been previous works that explored methods to enhance the aesthetics of
images, the automated beautification of 3D shapes has been limited to specific shapes such …

Posting attractive facial photos is part of everyday life in the social media era. Motivated by
the demand, we propose a lightweight method to automatically and efficiently beautify the …