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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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--- |
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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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Showcase: |
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[Slowpics](https://slow.pics/c/T59QQaQ0) |
