JingyunLiang / HCFlow

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

Home Page:https://arxiv.org/abs/2108.05301

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How to build an invertible mapping between two variables whose dimensions are different ?

Wangbk-dl opened this issue · comments

Maybe this is a stupid question, but I have been puzzled for quite a long time. In the image super-resolution task, the input and output have different dimensions. How to build an invertible mapping between them? I notice that you calculate the determinant of the Jacobian, so I thought the mapping here is strictly invertible?