4xNomos2_hq_atd
Scale: 4
Architecture: ATD
Architecture Option: atd
Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Upscaler
Subject: Photography
Input Type: Images
Release Date: 05.09.2024
Dataset: nomosv2
Dataset Size: 6000
OTF (on the fly augmentations): No
Pretrained Model: 003_ATD_SRx4_finetune
Iterations: 180'000
Batch Size: 2
Patch Size: 48
Norm: true
Description:
An atd 4x upscaling model, similiar to the 4xNomos2_hq_dat2 or 4xNomos2_hq_mosr models, trained and for usage on non-degraded input to give good quality output.
Training checkpoints metric scoring on val images
Showcase of the top 3 checkpoints from this model training, where 180k has been selected as the main release model: https://slow.pics/c/ZEnoG0Ou
I added the other checkpoints (135k and 205k) as additional model files in the assets of this release.
Model Showcase:
(Click on image for better view)