Is the estimated kernel somehow used for further training in ZSSR? about kernelgan HOT 2 CLOSED

Of course we provide the kernel to the noted SR methods - that is the strength of our method. In the paper you can see ZSSR's performance without our kernel in Table 1 line 2 vs. line 11.
Each SR method incorporates the kernel differently - you should read their paper to understand how. In short - ZSSR downscales the LR input image with the provided kernel - and learns to "undo" this downscaling: It trains the 8-layer network to upscale the downscaled image and recover the LR input image. (in a sense - it learns to "undo" the downscaling with the SR kernel). After the network is trained, it is applied to the input image and upscales it to the SR version w.r.t the kernel.
Hope this was clear - feel free to ask if not.

from kernelgan.

I see. Yes, the connection between estimating the kernel and the use of existing SR methods is clear to me now. Thanks a lot; this is very cool!

from kernelgan.