Delve deeper into deblurring with CopyCat in this second video by working on more complex frames. This second tutorial expands your knowledge of CopyCat in Nuke, making you a deblurring expert.
For more Nuke tutorials, check out
https://learn.foundry.com/nukeFor product information, go to:
https://www.foundry.com/products/nuke-family/nukeChapters:
00:33 - Create Ground Truth Frames to Manually Sharpen Out-of-Focus Frames
01:19 - Paint Out the Highlights to Restore the Original Shading of the Blurred Image
02:39 - Match the Position With the Vector Generator to Put Details Back Into the Blurred Image
08:07 - Define the Regions CopyCat Can Learn From to Save Processing Time
09:09 - Create More In-Focus Training Frames to Help Copycat Produce a Better Result
19:44 - Specify Out-of-Focus Input Images for CopyCat to Deblur
24:11 - Render the Ground Truth and Input Sequences to Speed up Training
25:05 - Create an Identity Frame for Reference to Help CopyCat During Training
27:14 - Connect the Inference Node to Apply the Trained Model to Out-Of-Focus Frames