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Here, we introduce a differentiable inverse design framework for such metasurfaces, establishing an accurate mapping between meta\u2010atom geometries and their multichannel optical responses across diverse optical dimensions, including color and polarization. Leveraging a deep neural network\u2010driven, end\u2010to\u2010end optimization pipeline, the framework enables intelligent, iterative refinement of rotatable metasurfaces within a constrained design space. Using this approach, we demonstrate a high\u2010quality holographic video display by rotating a single element in a cascaded metasurface doublet around the optical axis. The doublet facilitates pixel\u2010resolved holographic imaging with 288 independent channels, and by switching input\/output polarization states, the system could support four distinct full\u2010color dynamic holographic videos. This work establishes a novel paradigm for optical parameter multiplexing and end\u2010to\u2010end inverse design in mechanically reconfigurable metasurfaces, with promising applications in compact optical systems, dynamic holography, information processing, and optical computing.<\/jats:p>","DOI":"10.1002\/nap2.70117","type":"journal-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T12:33:08Z","timestamp":1777984388000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Spectropolarimetric Holographic Multiplexing Metasurface With Super\u2010High Capacity Empowered by Mechanical Rotation"],"prefix":"10.1002","volume":"15","author":[{"given":"Ting","family":"Ma","sequence":"first","affiliation":[{"name":"College of Integrated Circuits and Shenzhen Engineering Laboratory of Aerospace Detection and Imaging Harbin Institute of Technology (Shenzhen)  Shenzhen 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