Image super-resolution (SR) techniques are used to generate a high-resolution image from low-resolution image. Until now, deep generative models such as autoregressive and Generative Adversarial Networks (GANs) have proven be effective at modelling images. VAE-based often been criticised for their feeble performance, but with new advancements VDVAE, there is now strong evidence that VAEs the po...

Light field (LF) image super-resolution (SR) aims at reconstructing high-resolution LF images from their low-resolution counterparts. Although CNN-based methods have achieved remarkable performance in SR, these cannot fully model the non-local properties of 4D data. In this paper, we propose a simple but effective Transformer-based method for SR. our method, an angular Transformer is designed t...