pkuxmq/Invertible-Image-Rescaling

why using gt size 144?

junhyoung-ew opened this issue · 1 comments

Hello, thanks you for researching!

I wonder why you use GT size 144?

LQ image size is 36, HQ image size is 144. that lost much information..

pkuxmq commented

For image super-resolution/rescaling tasks, it is the common practice to sample small patches for training efficiency, because original high-resolution images, e.g. 1080p, are too large for efficient neural network propagation and training (memory costs, training time, etc.). Low-level image tasks largely depend on relatively local features, so training with patches, e.g. GT size 144, can be effective and efficient, and then convolutional operations can also be generalized to larger resolutions for testing.