D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution. (arXiv:2103.14373v4 [cs.CV] UPDATED)

In this paper, we present D2C-SR, a novel framework for the task of
real-world image super-resolution. As an ill-posed problem, the key challenge
in super-resolution related tasks is there can be multiple predictions for a
given low-resolution input. Most classical deep learning based approaches
ignored the fundamental fact and lack explicit modeling of the underlying
high-frequency distribution which leads to blurred results. Recently, some
methods of GAN-based or learning super-resolution space can generate simulated
textures but do not promise the …

arxiv convergence cv d2c divergence image