Wavelet Losses Improve Quantitative and Visual Performance of Transformer-based Single Image Super-Resolution Models

Training Transformer-based models for single image super-resolution using wavelet losses improves both quantitative (PSNR, SSIM) and visual performance compared to using only RGB pixel-wise losses.