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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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--- |
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[Link to Github Release](https://github.com/Phhofm/models/releases/tag/2xNomosUni_compact_otf_medium) |
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# 2xNomosUni_compact_otf_medium |
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Name: 2xNomosUni_compact_otf_medium |
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Author: Philip Hofmann |
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Release Date: 11.01.2024 |
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License: CC BY 4.0 |
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Network: SRVGGNetCompact |
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Scale: 2 |
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Purpose: 2x fast universal upscaler with medium degradation handling (jpg compression, noise, blur) |
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Iterations: 276'000 |
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epoch: 218 |
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batch_size: 12 |
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HR_size: 128 |
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Dataset: nomosuni |
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Number of train images: 2989 |
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OTF Training: Yes |
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Pretrained_Model_G: 2xNomosUni_compact_otf_strong |
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Description: |
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2x compact fast universal upscaler with medium degradation handling using the Real-ESRGAN training pipeline, based off 2xNomosUni_compact_otf_strong. Handles jpg compression, some noise, and some blur (so dejpgs, denoises and deblurs). |
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Examples: |
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[RealPhoto](https://imgsli.com/MjMyNTUy) |
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[Noisy](https://imgsli.com/MjMyNTUz) |
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