Name: 4xNomos8kHAT-L_bokeh_jpg
Author: Philip Hofmann
Release: 05.10.2023
License: CC BY 4.0
Network: HAT
Scale: 4
Purpose: 4x photo upscaler (handles bokeh effect and jpg compression)
Iterations: 145000
epoch: 66
batch_size: 4
HR_size: 128
Dataset: nomos8k
Number of train images: 8492
OTF Training: No
Pretrained_Model_G: HAT-L_SRx4_ImageNet-pretrain

Description:
4x photo upscaler, made to specifically handle bokeh effect and jpg compression. Basically a HAT-L variant of the already released 4xNomosUniDAT_bokeh_jpg model, but specifically trained for photos on the nomos8k dataset (and hopefully without the smoothing effect).

The three strengths of this model (design purpose):
Specifically for photos / photography
Handles bokeh effect
Handles jpg compression

This model will not attempt to:
Denoise
Deblur