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some of the first ai upscalers started as deinterlacing filters, such as nnedi. odd scanlines were interpolated, and since the result was quite nice, it led to use as a general upscaler. anyway, a lot of damage can still happen when trying to go progressive, so my idea is to AI upscale THEN deinterlace to try and eek out as much detail as possible. something like SeperateFields->AiUpscale->Weave->QTGMC. the question is- will the trained model perform when fed half-height photos, or is even more processing required.
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