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 …

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 …

We present Stable Video Diffusion-a latent video diffusion model for high-resolution, state-of-
the-art text-to-video and image-to-video generation. Recently, latent diffusion models trained …

Recently, segmentation-based scene text detection methods have drawn extensive attention
in the scene text detection field, because of their superiority in detecting the text instances of …

Understanding document images (eg, invoices) is a core but challenging task since it
requires complex functions such as reading text and a holistic understanding of the …

One of the main challenges for arbitrary-shaped text detection is to design a good text
instance representation that allows networks to learn diverse text geometry variances. Most …

Recently, segmentation-based methods are quite popular in scene text detection, as the
segmentation results can more accurately describe scene text of various shapes such as …

Object detection has recently experienced substantial progress. Yet, the widely adopted
horizontal bounding box representation is not appropriate for ubiquitous oriented objects …

We introduce ToonCrafter, a novel approach that transcends traditional correspondence-
based cartoon video interpolation, paving the way for generative interpolation. Traditional …

Scene text detection and recognition has received increasing research attention. Existing
methods can be roughly categorized into two groups: character-based and segmentation …