Scale: 4x
Network type: HAT-L
Author: Philip Hofmann
License: CC-BY-4.0
Purpose: 4x upscaling good quality (handles no degradations) photography
Pretrained Model: HAT-L_SRx4_ImageNet-pretrain.pth
Training iterations: 150'000
Description: 4x hat-l upscaling model for good quality input. This model does not handle any degradations. This model is rather soft, I tried to balance sharpness and faithfulness/non-artifacts. For a bit sharper output, but can generate a bit of artifacts, you can try the 4xBHI_small_hat-l_sharp version, also included in this release, which might still feel soft if you are used to sharper outputs. You can also try the appended 4xBHI_small_hat-l_fdl_150000.pth or 4xBHI_small_hat-l_157084.pth checkpoints.
Visual Examples:
slow.pics
