Optical-flow-based and kernel-based approaches have been extensively explored for
temporal compensation in satellite Video Super-Resolution (VSR). However, these …

Temporal modeling is crucial for multi-frame human pose estimation. Most existing methods
directly employ optical flow or deformable convolution to predict full-spectrum motion fields …

Videos stored on mobile devices or delivered on the Internet are usually in compressed
format and are of various unknown compression parameters, but most video super …

The high computational costs of video super-resolution (VSR) models hinder their
deployment on resource-limited devices, eg, smartphones and drones. Existing VSR models …

Abstract Event Stream Super-Resolution (ESR) aims to address the challenge of insufficient
spatial resolution in event streams which holds great significance for the application of event …

Video super-resolution can reconstruct a sequence of high-resolution frames with temporally
consistent contents from their corresponding low-resolution sequences. The key challenge …

Video super-resolution (VSR) aiming to reconstruct a high-resolution (HR) video from its low-
resolution (LR) counterpart has made tremendous progress in recent years. However, it …

Introducing event cameras into video super-resolution (VSR) shows great promise. In
practice, however, integrating event data as a new modality necessitates a laborious model …

Although recent video super-resolution (VSR) works show remarkable restoration
performance for low-resolution (LR) video downscaled by a fixed known blur kernel, blind …

Online video super-resolution (online-VSR) highly relies on an effective alignment module to
aggregate temporal information, while the strict latency requirement makes accurate and …