The virtual-to-real paradigm, ie, training models on virtual data and then applying them to
solve real-world problems, has attracted more and more attention from various domains by …

With the rise and development of deep learning, computer vision has been tremendously
transformed and reshaped. As an important research area in computer vision, scene text …

Despite the great success of GANs in images translation with different conditioned inputs
such as semantic segmentation and edge map, generating high-fidelity images with …

Automated recognition of texts in scenes has been a research challenge for years, largely
due to the arbitrary text appearance variation in perspective distortion, text line curvature …

Recent advances in deep learning have shown exciting promise in filling large holes in
natural images with semantically plausible and context aware details, impacting …

Recent advances in generative adversarial networks (GANs) have shown great potentials in
realistic image synthesis whereas most existing works address synthesis realism in either …

Recent adversarial learning research has achieved very impressive progress for modelling
cross-domain data shifts in appearance space but its counterpart in modelling cross-domain …

Illumination estimation from a single image is critical in 3D rendering and it has been
investigated extensively in the computer vision and computer graphic research community …

Scene text detection is an important step in the scene text reading system. The main
challenges lie in significantly varied sizes and aspect ratios, arbitrary orientations, and …

The history of text can be traced back over thousands of years. Rich and precise semantic
information carried by text is important in a wide range of vision-based application …