Eugene Siow
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Add x3 model.
Browse files- README.md +4 -4
- pytorch_model_3x.pt +3 -0
README.md
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@@ -111,16 +111,16 @@ The results columns below are represented below as `PSNR/SSIM`. They are compare
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|Dataset |Scale |Bicubic |pan |
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|--- |--- |--- |--- |
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|Set5 |2x |33.64/0.9292 |**37.77/0.9599** |
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|Set5 |3x |30.39/0.8678
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|Set5 |4x |28.42/0.8101 |**31.92/0.8915** |
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|Set14 |2x |30.22/0.8683 |**33.42/0.9162** |
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|Set14 |3x |27.53/0.7737
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|Set14 |4x |25.99/0.7023 |**28.57/0.7802** |
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|BSD100 |2x |29.55/0.8425 |**33.6/0.9235** |
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|BSD100 |3x |27.20/0.7382
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|BSD100 |4x |25.96/0.6672 |**28.35/0.7595** |
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|Urban100 |2x |26.66/0.8408 |**31.31/0.9197** |
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|Urban100 |3x |
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|Urban100 |4x |23.14/0.6573 |**25.63/0.7692** |
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![Comparing Bicubic upscaling against the models x4 upscaling on Set5 Image 2](images/pan_2_4_compare.png "Comparing Bicubic upscaling against the models x4 upscaling on Set5 Image 2")
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|Dataset |Scale |Bicubic |pan |
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|--- |--- |--- |--- |
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|Set5 |2x |33.64/0.9292 |**37.77/0.9599** |
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|Set5 |3x |30.39/0.8678 |**34.64/0.9376** |
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|Set5 |4x |28.42/0.8101 |**31.92/0.8915** |
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|Set14 |2x |30.22/0.8683 |**33.42/0.9162** |
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|Set14 |3x |27.53/0.7737 |**30.8/0.8544** |
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|Set14 |4x |25.99/0.7023 |**28.57/0.7802** |
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|BSD100 |2x |29.55/0.8425 |**33.6/0.9235** |
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|BSD100 |3x |27.20/0.7382 |**29.47/0.815** |
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|BSD100 |4x |25.96/0.6672 |**28.35/0.7595** |
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|Urban100 |2x |26.66/0.8408 |**31.31/0.9197** |
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|Urban100 |3x | |**28.61/0.8603** |
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|Urban100 |4x |23.14/0.6573 |**25.63/0.7692** |
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![Comparing Bicubic upscaling against the models x4 upscaling on Set5 Image 2](images/pan_2_4_compare.png "Comparing Bicubic upscaling against the models x4 upscaling on Set5 Image 2")
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pytorch_model_3x.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:12dbe32626541451c10f681e994a5ad28e7a19abead9a4e19dfa1848f3943934
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size 1098409
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