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Care to elaborate about the difficulties of wide resolution range? More of an engineering or fundamental problem?
Sure. A combination of training regime itself (how high of a res you can go on with a reasonable batch size) and the architecture itself (e.g spectral norm) can make/break whether or not inference generalizes across resolutions well.
