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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_dat2_multiblurjpg) |
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# 4xBHI_dat2_multiblurjpg |
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Scale: 4x |
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Network type: DAT2 |
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Author: Philip Hofmann |
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License: CC-BY-4.0 |
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Purpose: 4x upscaling images, handles jpg compression |
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Pretrained Model: 4xNomos2_hq_dat2 |
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Training iterations: 320000 |
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Description: 4x dat2 upscaling model, trained with down_up,linear, cubic_mitchell, lanczos, gauss and box scaling algos, some average, gaussian and anisotropic blurs and jpg compression. Trained on my BHI sisr dataset. |
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You can also try out the 4xBHI_dat2_multiblur checkpoint below (trained to 250000 iters), which cannot handle compression but might give just slightly better output on non-degraded input. |
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