Deconvolution vs Sub-pixel Convolution
In this paper, theauthors have provided a deep explanation, basically its the exact same thing. sub-pixel uses or^2 conv kernels all at res H/r,W/r while the regular transpose conv uses o conv kernels all at res H,W the authors prove that one can rearrange the feature map (Or^2,h,w) to a feature map (O,hr,wr) without losing information.