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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/4xbhi_realplksr) |
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4xBHI_realplksr_dysample_real |
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Scale: 4x |
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Network type: RealPLKSR |
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Author: Philip Hofmann |
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License: CC-BY-4.0 |
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Purpose: 4x upscaling images, handling some blur, some noise, and compression |
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Pretrained Model: 4xNomos2_realplksr_dysample |
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Training iterations: 380000 |
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Description: 4x realplksr dysample model to upscale images, trained on the BHI dataset. This is with a created LR set where I used wtp_destroyer to add blur (50% chance), my ludvae200 model to add noise (50% chance), and then wtp to add compression, scaling, recompression (50% chance), scaling. |
