Eugene Siow
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Add x2 and x3 models.
Browse files- README.md +8 -8
- pytorch_model_2x.pt +3 -0
- pytorch_model_3x.pt +3 -0
README.md
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@@ -111,17 +111,17 @@ The results columns below are represented below as `PSNR/SSIM`. They are compare
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|Dataset |Scale |Bicubic |mdsr-bam |
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|--- |--- |--- |--- |
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|Set5 |2x |33.64/0.9292
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|Set5 |3x |30.39/0.8678
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|Set5 |4x |28.42/0.8101 |**32.19/0.8949** |
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|Set14 |2x |30.22/0.8683
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|Set14 |3x |27.53/0.7737
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|Set14 |4x |25.99/0.7023 |**28.73/0.7847** |
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|BSD100 |2x |29.55/0.8425
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|BSD100 |3x |27.20/0.7382
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|BSD100 |4x |25.96/0.6672 |**28.5/0.7645** |
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|Urban100 |2x |26.66/0.8408
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|Urban100 |3x |
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|Urban100 |4x |23.14/0.6573 |**26.02/0.7834** |
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![Comparing Bicubic upscaling against the models x4 upscaling on Set5 Image 2](images/mdsr_2_4_compare.png "Comparing Bicubic upscaling against the models x4 upscaling on Set5 Image 2")
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|Dataset |Scale |Bicubic |mdsr-bam |
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|--- |--- |--- |--- |
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|Set5 |2x |33.64/0.9292 |**38/0.9607** |
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|Set5 |3x |30.39/0.8678 |**35.07/0.9402** |
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|Set5 |4x |28.42/0.8101 |**32.19/0.8949** |
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|Set14 |2x |30.22/0.8683 |**33.68/0.9182** |
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|Set14 |3x |27.53/0.7737 |**31.04/0.8582** |
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|Set14 |4x |25.99/0.7023 |**28.73/0.7847** |
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|BSD100 |2x |29.55/0.8425 |**33.77/0.9253** |
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|BSD100 |3x |27.20/0.7382 |**29.62/0.8188** |
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|BSD100 |4x |25.96/0.6672 |**28.5/0.7645** |
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|Urban100 |2x |26.66/0.8408 |**32.04/0.9272** |
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|Urban100 |3x | |**29.16/0.8717** |
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|Urban100 |4x |23.14/0.6573 |**26.02/0.7834** |
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![Comparing Bicubic upscaling against the models x4 upscaling on Set5 Image 2](images/mdsr_2_4_compare.png "Comparing Bicubic upscaling against the models x4 upscaling on Set5 Image 2")
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pytorch_model_2x.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:fffd2f7bc8418996886a6a0373f9adede0aa72196a98aafb50fcf53e2bafbfae
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size 10989961
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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:b978805ed254fb41c321d8d84c93bf9d938e88c48b28d969c242cbd6563519fa
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size 11728521
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