Add x2 and x3 scale models.

README.md

@@ -108,17 +108,17 @@ The results columns below are represented below as `PSNR/SSIM`. They are compare
 
 |Dataset  	    |Scale      |Bicubic  	        |drln  	                        |
 |---	        |---	    |---	            |---	                        |
-|Set5  	        |2x         |33.64/0.9292       |****       |
-|Set5  	        |3x  	    |30.39/0.8678  	    |****  	    |
+|Set5  	        |2x         |33.64/0.9292       |**38.22/0.9614**       |
+|Set5  	        |3x  	    |30.39/0.8678  	    |**35.31/0.9423**  	    |
 |Set5  	        |4x  	    |28.42/0.8101  	    |**32.55/0.899**        |
-|Set14  	    |2x         |30.22/0.8683  	    |****  	    |
-|Set14  	    |3x         |27.53/0.7737  	    |****  	    |
+|Set14  	    |2x         |30.22/0.8683  	    |**34.01/0.9211**  	    |
+|Set14  	    |3x         |27.53/0.7737  	    |**31.21/0.8619**  	    |
 |Set14  	    |4x         |25.99/0.7023  	    |**28.96/0.7901**  	    |
-|BSD100  	    |2x  	    |29.55/0.8425  	    |****  	    |
-|BSD100  	    |3x  	    |27.20/0.7382  	    |****  	    |
+|BSD100  	    |2x  	    |29.55/0.8425  	    |**33.93/0.9269**  	    |
+|BSD100  	    |3x  	    |27.20/0.7382  	    |**29.77/0.8223**  	    |
 |BSD100  	    |4x  	    |25.96/0.6672  	    |**28.65/0.7692**  	    |
-|Urban100  	    |2x  	    |26.66/0.8408  	    |****  	    |
-|Urban100  	    |3x  	    |  	                |****  	    |
+|Urban100  	    |2x  	    |26.66/0.8408  	    |**32.82/0.934**  	    |
+|Urban100  	    |3x  	    |  	                |**29.79/0.8825**  	    |
 |Urban100  	    |4x  	    |23.14/0.6573  	    |**26.56/0.7998**  	    |
 
 ![Comparing Bicubic upscaling against the models x4 upscaling on Set5 Image 2](images/drln_2_4_compare.png "Comparing Bicubic upscaling against the models x4 upscaling on Set5 Image 2")

pytorch_model_2x.pt

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+size 137902573

pytorch_model_3x.pt

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