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reference to the PIRM18-SR Chanllenge report

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@ -6,6 +6,8 @@ First, the released ESRGAN model in the GitHub (`RRDB_ESRGAN_x4.pth`) is **diffe
We found that the lower perceptual index does not always guarantee a better visual quality.
The aims for the competition and our ESRGAN work will be a bit different.
We think the aim for the competition is the lower perceptual index and the aim for our ESRGAN work is the better visual quality.
> More analyses can be found in Sec 4.1 and Sec 5 in [PIRM18-SR Chanllenge report](https://arxiv.org/pdf/1809.07517.pdf).
> It points out that PI (perceptual index) is well correlated with the human-opinion-scores on a coarse scale, but it is not always well-correlated with these scores on a finer scale. This highlights the urgent need for better perceptual quality metrics.)
Therefore, in the PIRM18-SR Challenge competition, we used several tricks for the best perceptual index (see Section 4.5 in the [paper](https://arxiv.org/abs/1809.00219)).