Review: DRRN — Deep Recursive Residual Network (Super Resolution)
VDSR: Residual learning is used between the input lowresolution (LR) image and output highresolution (HR) image. This is a global residual learning (GRL). 20 layers of 3×3 convolution are stacked in the residual branch. Large receptive field of 41×41 can be achieved. And VDSR actually is a special case of DRRN. (To be mentioned later)