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Ghosting artifacts in HDR imaging are dramatically reduced by an adaptive, agent-driven framework that learns from past experiences and scene dynamics.
Current image quality metrics struggle to articulate *why* one high-quality image is better than another, but this challenge shows MLLMs are closing the gap by providing expert-level explanations.
