Real-world single image super-resolution: A brief review
Single image super-resolution (SISR), which aims to reconstruct a high-resolution (HR)
image from a low-resolution (LR) observation, has been an active research topic in the area …
image from a low-resolution (LR) observation, has been an active research topic in the area …
Video super-resolution based on deep learning: a comprehensive survey
Video super-resolution (VSR) is reconstructing high-resolution videos from low resolution
ones. Recently, the VSR methods based on deep neural networks have made great …
ones. Recently, the VSR methods based on deep neural networks have made great …
Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Though many attempts have been made in blind super-resolution to restore low-resolution
images with unknown and complex degradations, they are still far from addressing general …
images with unknown and complex degradations, they are still far from addressing general …
Designing a practical degradation model for deep blind image super-resolution
It is widely acknowledged that single image super-resolution (SISR) methods would not
perform well if the assumed degradation model deviates from those in real images. Although …
perform well if the assumed degradation model deviates from those in real images. Although …
Basicvsr++: Improving video super-resolution with enhanced propagation and alignment
A recurrent structure is a popular framework choice for the task of video super-resolution.
The state-of-the-art method BasicVSR adopts bidirectional propagation with feature …
The state-of-the-art method BasicVSR adopts bidirectional propagation with feature …
Vrt: A video restoration transformer
Video restoration aims to restore high-quality frames from low-quality frames. Different from
single image restoration, video restoration generally requires to utilize temporal information …
single image restoration, video restoration generally requires to utilize temporal information …
Recurrent video restoration transformer with guided deformable attention
Video restoration aims at restoring multiple high-quality frames from multiple low-quality
frames. Existing video restoration methods generally fall into two extreme cases, ie, they …
frames. Existing video restoration methods generally fall into two extreme cases, ie, they …
Basicvsr: The search for essential components in video super-resolution and beyond
Video super-resolution (VSR) approaches tend to have more components than the image
counterparts as they need to exploit the additional temporal dimension. Complex designs …
counterparts as they need to exploit the additional temporal dimension. Complex designs …
Deep unfolding network for image super-resolution
Learning-based single image super-resolution (SISR) methods are continuously showing
superior effectiveness and efficiency over traditional model-based methods, largely due to …
superior effectiveness and efficiency over traditional model-based methods, largely due to …
Edvr: Video restoration with enhanced deformable convolutional networks
Video restoration tasks, including super-resolution, deblurring, etc, are drawing increasing
attention in the computer vision community. A challenging benchmark named REDS is …
attention in the computer vision community. A challenging benchmark named REDS is …