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CVPR2025Top-tier venue

EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection

Yizheng Xie, Viktoria Ehm, Paul Roetzer, Nafie El Amrani, Maolin Gao, Florian Bernard, Daniel Cremers

2025Year
4Top-tier citations

Abstract

We present EchoMatch, a novel framework for partial-to-partial shape matching. We formalise a correspondence reflection approach, where we ensure forward-backward-consistency for overlapping points. If a point returns to its original neighbourhood after sending it from shape X to shape Y and back to shape X , we consider it to be an overlapping point, otherwise it is a non-overlapping point. Middle: We show improved overlap prediction for partial-to-partial shape matching compared to the previous SOTA method DPFM [3] . Right: We achieve SOTA matching results in the partial-to-partial setting.

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