Unconditional human image generation is an important task in vision and graphics, enabling
various applications in the creative industry. Existing studies in this field mainly focus on …

Face aging is to render a given face to predict its future appearance, which plays an
important role in the information forensics and security field as the appearance of the face …

Deep neural networks have achieved excellent cell or nucleus quantification performance in
microscopy images, but they often suffer from performance degradation when applied to …

In materials science, the amount of observational data is often limited by operating protocols
that require a high level of expertise, often machine-dependent, developed for a time …

The reflectance field of a face describes the reflectance properties responsible for complex
lighting effects including diffuse, specular, inter-reflection and self shadowing. Most existing …

Recent developments in deep learning-based automatic weeding systems have shown
promise for unmanned weed eradication. However, accurately distinguishing between crops …

We consider the 3D object recognition problem from the perspective of the lack of labelled
data. In this paper, we propose a novel progressive conditional generative adversarial …

Generative Adversarial Networks (GANs) have become predominant in mobile computing
for their ability to generate data. The concern for data privacy has made it arduous to collect …

Rainy weather greatly affects the visibility of salient objects and scenes in the captured
images and videos. The object/scene visibility varies with the type of raindrops, ie adherent …

We present a universal texture synthesis approach that incorporates a novel multiscale
texton broadcasting module in the StyleGAN-2 framework. The texton broadcasting module …