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README.md
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I also provide sisr models I trained on this dataset when either using the real-esrgan otf pipeline or then prebuilt LR sets for paired training, which are the exact sets I released above.
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These models are based on the realplksr arch (middle sized arch) and on the dat arch (big arch, slower but better quality). There are of course other options I could have gone with, but I might still release other models on this dataset in the future.
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Multiscale: RealPLKSR // only non-degraded input
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Multiblur: RealPLKSR
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I also provide sisr models I trained on this dataset when either using the real-esrgan otf pipeline or then prebuilt LR sets for paired training, which are the exact sets I released above.
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These models are based on the realplksr arch (middle sized arch) and on the dat arch (big arch, slower but better quality). There are of course other options I could have gone with, but I might still release other models on this dataset in the future.
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Multiscale: [RealPLKSR](https://github.com/Phhofm/models/releases/tag/4xbhi_realplksr) // only non-degraded input
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Multiblur: [RealPLKSR](https://github.com/Phhofm/models/releases/tag/4xbhi_realplksr) // a bit sharper output
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Multiblurjpg: [DAT2](https://github.com/Phhofm/models/releases/tag/4xBHI_dat2_multiblurjpg) // handles jpg compression additionally
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OTF_nn: [RealPLKSR](https://github.com/Phhofm/models/releases/tag/4xbhi_realplksr)
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OTF(real-esrgan pipeline): [RealPLKSR](https://github.com/Phhofm/models/releases/tag/4xbhi_realplksr) | [DAT2](https://github.com/Phhofm/models/releases/tag/4xBHI_dat2_otf) // handles blur, noise, and compression
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Real: [RealPLKSR](https://github.com/Phhofm/models/releases/tag/4xbhi_realplksr) | [DAT2](https://github.com/Phhofm/models/releases/tag/4xBHI_dat2_real) // handles blur, noise, and jpg/webp compression
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