Notes on Different Models and Datasets Datasets PIRM 100 Images Resolution ~400x600 Name n Resolution PIRM 100 ~400x600 T91 91 ~150x200 Experiments with ResNet Models Name # Resnet Blocks Trainable Parameters ResSR1 1 23.523 ResSR2 2 97.315 ResSR3 3 392.355 Training Dataset: PIRM, patches 224x224, 1046 patches, 4x upscaling, batch size 64 100 Epochs, no LR Scheduler Name Set5 Set14 Model1 22.791 21.517 Model2 21.460 20.703 Model3 19.529 18.965 Experiments resnet with maxpooling vs vgg Dataset: T91, patches 31x31, 4x upscaling 100 Epochs, no LR Scheduler Name Set5 Set14 ResSR1_n 23.391 21.933 VGG 25.034 23.024 VGGSR2 22.511 21.059 VGGSR0 25.519 23.496 final experiments Name Set5 Set14 VGGSR 24.720 22.866 VGGSR2 VGGSR0