As we enter a new year, that means getting ready for all the upcoming superhero movies heading our way in 2026 and beyond. And trust us, it's going to be a busy time, so you'll want to keep updated on ...

Real-world low-resolution (LR) videos have diverse and complex degradations, imposing great challenges on video super-resolution (VSR) algorithms to reproduce their high-resolution (HR) counterparts ...

Abstract: In this paper, we propose a hardware-efficient residual recurrent neural network for real-time video super-resolution (VSR) based on field programmable gate array (FPGA). Although recent ...

This repository is the official PyTorch implementation of "Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention" (arxiv,pretrained models). Recently, Vision Transformer has ...

Abstract: Recently, Vision Transformer has achieved great success in recovering missing details in low-resolution sequences, i.e., the video super-resolution (VSR) task. Despite its su-periority in ...