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VMAF isn't designed for still images, but they do provide the tools to create your own VMAF for specific use cases (e.g. anime on a phone screen, or video game cobtebt) so it surprises me that no one has taken the framework and applied it to still images yet.
It should in theory be able to fuse the results of those other still image tests and create something even better aligned with human reported scores than any one alone. Presumably not Netflix's main use case but you'd think they deliver enough still images to make it worthwhile since they already have the skills.
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