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arxiv_cs_lg · Oct 8, 2026 · paper

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Beyond Spatio-Temporal Priors: A Generalizable Approach for Dense Correspondence Matching

arxiv.orgOct 8, 2026
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Dense correspondence matching has historically been bounded by simplifying spatio-temporal priors, such as smooth motion and rigid geometry. While effective for classical tasks, these assumptions break down in image e...

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Beyond Spatio-Temporal Priors: A Generalizable Approach for Dense Correspondence Matching

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