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README.md
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---
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license: cc-by-4.0
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---
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license: cc-by-4.0
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pipeline_tag: image-to-image
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tags:
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- pytorch
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- super-resolution
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- pretrain
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[Link to Github Release](https://github.com/Phhofm/models/releases/tag/4xmssim_mosr_pretrain)
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# 4xmssim_mosr_pretrain
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Scale: 4
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Architecture: [MoSR](https://github.com/umzi2/MoSR)
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Architecture Option: [mosr](https://github.com/umzi2/MoSR/blob/95c5bf73cca014493fe952c2fbc0bdbe593da08f/neosr/archs/mosr_arch.py#L117)
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Author: Philip Hofmann
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License: CC-BY-0.4
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Purpose: Pretrained
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Subject: Photography
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Input Type: Images
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Release Date: 25.08.2024
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Dataset: [nomosv2](https://github.com/muslll/neosr/?tab=readme-ov-file#-datasets)
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Dataset Size: 6000
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OTF (on the fly augmentations): No
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Pretrained Model: None
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Iterations: 420'000
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Batch Size: 6
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Patch Size: 64
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Description:
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A 4x [MoSR](https://github.com/umzi2/MoSR) pretrain model with mssim only on the Nomos2 dataset, usable as a pretrain when starting training new mosr models.
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Training metrics graphs:
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![image](https://github.com/user-attachments/assets/b66b75d8-f83c-4b6e-8094-ef5e5cba9c81)
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Showcase:
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[Slowpics](https://slow.pics/c/T59QQaQ0)
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