Dataset for pre-training μ?

[Qiu Jueqin]

Hi, in README you mentioned that

For D-BSN，we suggest to pre-train μ first by using L2 Loss, then pre-train σ_μ and σ_n by using the Pre-trained loss (./net/losses.py), finally fine-tune the whole framework.

In your .sh script I noticed the dataset for pre-training μ is actually synthetic data (by adding poisson-gaussian noise to the clean images). My question is, will D-BSN be degraded or improved if use real noisy dataset to pre-train μ?

Thanks.