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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:

Slowpics

(Click on image for better view) Example1 Example2 Example3 Example4 Example5

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