EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection
Yizheng Xie, Viktoria Ehm, Paul Roetzer, Nafie El Amrani, Maolin Gao, Florian Bernard, Daniel Cremers
摘要
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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引用它的顶会 Paper4
- : Symmetry Understanding of 3D Shapes via Chirality DisentanglementWeikang Wang, Tobias Weißberg, Nafie El Amrani, Florian BernardICCV 2025 · 被引用 3 次
- Teaching DINOv3 About Partial 3D Geometry: A Self-Supervised Geometry-Aware ApproachViktoria Ehm, Dongliang Cao, Riccardo Marin, Daniel Scholz 等CVPR 2026 · 被引用 2 次
- RINO: Rotation-Invariant Non-Rigid CorrespondencesMaolin Gao, Shao Jie Hu-Chen, Congyue Deng, Riccardo Marin 等CVPR 2026 · 被引用 2 次
- From Feature Learning to Spectral Basis Learning: A Unifying and Flexible Framework for Efficient and Robust Shape MatchingFeifan Luo, Hongyang ChenCVPR 2026 · 被引用 2 次
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