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4xNomos2_realplksr_dysample

4xNomos2_realplksr_dysample
Scale: 4
Architecture: RealPLKSR with Dysample
Architecture Option: realplksr
Github Release

Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Pretrained
Subject: Photography
Input Type: Images
Release Date: 30.06.2024

Dataset: nomosv2
Dataset Size: 6000
OTF (on the fly augmentations): No
Pretrained Model: 4xmssim_realplksr_dysample_pretrain
Iterations: 185'000
Batch Size: 8
GT Size: 256, 512

Description: A Dysample RealPLKSR 4x upscaling model that was trained with / handles jpg compression down to 70 on the Nomosv2 dataset, preserves DoF.
Based on the 4xmssim_realplksr_dysample_pretrain I released 3 days ago.
This model affects / saturate colors, which can be counteracted a bit by using wavelet color fix, as used in these examples.

Showcase: Slowpics

ArchitectureRealPLKSR
Scale4x
Color Mode
LicenseCC-BY-4.0
Private use
Commercial use
Distribution
Modifications
Credit required
State Changes
No Liability & Warranty
Disclaimer
Date2024-06-30
DatasetNomos-v2
Dataset size6000
Training iterations185000
Training batch size8
Training HR size512
Training OTFNo

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