Single Image Super-Resolution Using Lightweight Networks Based on Swin Transformer. (arXiv:2210.11019v1 [eess.IV])

Image super-resolution reconstruction is an important task in the field of
image processing technology, which can restore low resolution image to high
quality image with high resolution. In recent years, deep learning has been
applied in the field of image super-resolution reconstruction. With the
continuous development of deep neural network, the quality of the reconstructed
images has been greatly improved, but the model complexity has also been
increased. In this paper, we propose two lightweight models named as MSwinSR
and …

arxiv image networks swin transformer