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---
license: cc-by-4.0
pipeline_tag: image-to-image
tags:
- pytorch
- super-resolution
---
[Link to Github Release](https://github.com/Phhofm/models/releases/tag/4xNomosWebPhoto_atd)
# 4xNomosWebPhoto_atd
Scale: 4
Architecture: [ATD](https://github.com/LabShuHangGU/Adaptive-Token-Dictionary)
Architecture Option: atd
Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Restoration
Subject: Photography
Input Type: Images
Release Date: 07.06.2024
Dataset: Nomos-v2
Dataset Size: 6000
OTF (on the fly augmentations): No
Pretrained Model: 003_ATD_SRx4_finetune.pth
Iterations: 460'000
Batch Size: 6, 2
GT Size: 128, 192
Description:
4x ATD model for photography, trained with realistic noise, lens blur, jpg and webp re-compression.
ATD version of [4xNomosWebPhoto_RealPLKSR](https://github.com/Phhofm/models/releases/tag/4xNomosWebPhoto_RealPLKSR), trained on the same dataset and in the same way. For more information look into the [4xNomosWebPhoto_RealPLKSR](https://github.com/Phhofm/models/releases/tag/4xNomosWebPhoto_RealPLKSR) release, and the pdf file in its attachments.
Showcase:
[Slow Pics 18 Examples](https://slow.pics/s/GkS39XYi)
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