This is a unoffical implementation about Image Super-Resolution via Iterative Refinement(SR3) by Pytorch.
There are some implement details with paper description, which maybe different with actual SR3 structure due to details missing.
We used the ResNet block and channel concatenation style like vanilla DDPM.
We used the attention mechanism in low resolution feature(16×16) like vanilla DDPM.
We encoding the $\gamma$ as FilM strcutrue did in WaveGrad, and embedding it without affine transformation.
Read more on the GitHub project.
