Open RyanCV opened 6 years ago
There is a "Blurry" attribute. Let the negative set be Blurry == True and the positive set be Blurry == False (also matching gender and smile, as usual) then it will sharpen the result.
elif config.method=='sharpen':
cP=[(gender,XA[gender]>=0),(smile,XA[smile]>=0),(blurry,True)]
cQ=[(gender,XA[gender]>=0),(smile,XA[smile]>=0),(blurry,False)]
The input image below was upsampled from 100x100 to 300x300 then I applied DFI to sharpen it.
i did this
@Marcelllo2536 Was this created with DFI?
ComfyUI and Supir.
I was looking for a low quality image to test the Supir model in ComfyUI and I came across this image here on Github, the result I sent still doesn't match what this model is capable of doing.
This one was much more faithful to the original
Can you tell which model did you use for generating this image?
Hi, thanks for sharing your code. Have u tried to transform from low resolution to high resolution image, like super resolution? Do you have any suggestions if I apply it to SR problem. Thanks.