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license: cc-by-4.0
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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_multiblur
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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, can handle some blur, jpeg and webp compression
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Pretrained Model: 4xNomos2_realplksr_dysample
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Training iterations: 354000
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Description: 4x realplksr dysample model to upscale images, trained on the BHI dataset. Similiar to the 4xBHI_realplksr_dysample_multi model, the LR had made use of the same multiscaling, but additionally, compression handling had been added for jpeg and webp compression, plus I made use of average, gaussian and anisotropic blur for sharper results.
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