Chong Mou

To make a fair comparison, the SSIM is computed by MATLAB. The MATLAB code can be find in RNAN.

Thanks for your interest. It is mainly designed to reduce the computational complexity. The former from can be viewed as using N^2 patch to update each patch. The latter (our...

Thanks for your interest. Q1: The main difference between our cola-net and "cross scale attention network for super-resolution" is that we propose a collaborative attention mechanism for image restoration. Furthermore,...

Extracting patches and unfold are the same thing.

It is because we want to reduce the computational complexity. The smaller stride is the better for performance, but at the same time it brings a lot of computational complexity....

Yes it will make a difference, if we used them interchangably. It changes the number of query and its long-range correlations.

We did not do this experiment in this paper. You can simply retrain our model by modifying 'scale' in the option file.

你好，这里的min和max代表两个锚点（最小退化，最大退化），锚点策略只用于训练，测试不需要用到。

是的，可以规范度量空间的分布

Thanks for your attention. We will evaluate our method on these two new Super-Resolution Benchmarks.