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JingyunLiang / MANet

Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)

Home Page:https://arxiv.org/abs/2108.05302

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Questions about the paper

mrgreen3325 opened this issue · comments

commented

Thanks again for your great work.
I have several questions about the paper.
In Figure 2, you mentioned the input for MANet is a LR, but the input for your code seems to be DIV2K GT.
Is there any further process I miss?
Also, is that possible for the whole model trained in y-channel since my deployed environment only deals with y-channel?
Thanks.