Caricature generation aims to translate real photos into caricatures with artistic styles and shape exaggerations while maintaining the identity of subject. Different from generic image-to-image translation, drawing automatically is a more challenging task due existence various spatial deformations. Previous caricature methods are obsessed predicting definite image warping given photo ignoring ...

Retrospective artifact correction (RAC) improves image quality post acquisition and enhances usability. Recent machine learning driven techniques for RAC are predominantly based on supervised therefore practical utility can be limited as data with paired artifact-free artifact-corrupted images typically insufficient or even non-existent. Here we show that unwanted artifacts disentangled removed...

Image captioning is a multimodal task involving computer vision and natural language processing, where the goal is to learn a mapping from the image to its natural language description. In general, the mapping function is learned from a training set of image-caption pairs. However, for some language, large scale image-caption paired corpus might not be available. We present an approach to this ...