Abstract Neural Radiance Fields (NeRF) is a revolutionary approach for rendering scenes
by sampling a single ray per pixel and it has demonstrated impressive capabilities in novel …

The power of DNNs relies heavily on the quantity and quality of training data. However,
collecting and annotating data on a large scale is often expensive and time-consuming. To …

In this paper we explore a novel challenging generation task ie Handwritten Mathematical
Expression Generation (HMEG) from symbolic sequences. Since symbolic sequences are …

Abstract Face Anti-Spoofing (FAS) seeks to protect face recognition systems from spoofing
attacks, which is applied extensively in scenarios such as access control, electronic …

In this paper, we propose a new cross-lingual font style transfer model, FCAGAN, which
enables font style transfer between different languages by observing a small number of …

Generative art has drawn increased attention in recent AI applications. Traditional
approaches of robot calligraphy have faced challenges in achieving style consistency, line …

Diffusion models have revolutionized text-to-image generation, but their real-world
applications are hampered by the extensive time needed for hundreds of diffusion steps …

Deep sequence recognition (DSR) models receive increasing attention due to their superior
application to various applications. Most DSR models use merely the target sequences as …

Scene text detection techniques have garnered significant attention due to their wide-
ranging applications. However, existing methods have a high demand for training data, and …

Online handwritten Chinese character generation is an interesting task which has gained
more and more attention in recent years. Most of the previous methods are based on …