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The Hong Kong University of Science and Technology (Guangzhou)
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Interaction inference from screenshots remains a critical challenge, with top models lagging far behind in functional execution despite high visual fidelity.
Existing affordance prediction models fall flat when confronted with the wide-angle, distorted reality of panoramic vision, but a new training-free pipeline called PAP rises to the challenge.
