4xNomos2_hq_drct-l
Scale: 4
Architecture: DRCT
Architecture Option: drct_l
Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Upscaler
Subject: Photography
Input Type: Images
Release Date: 08.09.2024
Dataset: nomosv2
Dataset Size: 6000
OTF (on the fly augmentations): No
Pretrained Model: DRCT-L_X4
Iterations: 200'000
Batch Size: 2
Patch Size: 64
Description:
An drct-l 4x upscaling model, similiar to the 4xNomos2_hq_atd, 4xNomos2_hq_dat2 and 4xNomos2_hq_mosr models, trained and for usage on non-degraded input to give good quality output.
Model Showcase:
(Click on image for better view)