Use Blind Super Resolution model DCLS-SR to super-resolve image degradation
I want to clean a degraded image
From this small image, it has been scaled up four times to the size above.
Blind Super Resolution is a technology for dealing with various image degradations.
Using the State of Art model
Paper with Code’s Blind Super-Resolution on Set5–4x upscaling Let’s use the top DCLS-SR model in the field.
GitHub - megvii-research/DCLS-SR: Official PyTorch implementation of the paper "Deep Constrained…
Ziwei Luo$^1$, Haibin Huang$^2$, Lei Yu$^1$, Youwei Li$^1$, Haoqiang Fan$^1$, Shuaicheng Liu$^3$ 1. Megvii Research, 2…
Clone the repository.
Get Pre-trained Weight from the repository page on GitHub.
Install Pytorch==1.6 (Other versions didn’t work well with Fourier transform functions).
Specify the setting file of the model (version and how many times) you want to use with -opt, and rewrite the Pre-trained Weight Path in the setting file.
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