Isometric Multi-Shape Matching
Maolin Gao, Zorah Lähner, Johan Thunberg, Daniel Cremers, Florian Bernard
摘要
Figure 1 . Left: We present a novel approach for isometric multi-shape matching based on matching each shape to a (virtual) universe shape (shown semi-transparent). Our formulation represents point-to-point correspondences between shapes i and j as the composition of the shape-to-universe permutation matrix Pi and the universe-to-shape permutation matrix P T j . By doing so, the pairwise matchings Pij = PiP ⊤ j are by construction cycle-consistent. Middle: Our formulation successfully solves isometric multi-matching of partial shapes. Right: Due to the cycle-consistency we can use our correspondences to faithfully transfer textures across a shape collection.
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引用它的顶会 Paper21
- Unsupervised Learning of Robust Spectral Shape MatchingDongliang Cao, Paul Roetzer, Florian BernardSIGGRAPH 2023 · 被引用 45 次
- Spatially and Spectrally Consistent Deep Functional MapsMingze Sun, Shiwei Mao, Puhua Jiang, Maks Ovsjanikov 等ICCV 2023 · 被引用 37 次
- A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape MatchingPaul Roetzer, Paul Swoboda, Daniel Cremers, Florian BernardCVPR 2022 · 被引用 22 次
- Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation SynchronisationFlorian Bernard, Daniel Cremers, Johan ThunbergNeurIPS 2021 · 被引用 16 次
- GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative ModelsHaitao Yang, Xiangru Huang, Bo Sun, Chandrajit L. Bajaj 等ICLR 2024 · 被引用 12 次
它引用的顶会 Paper4
- Unsupervised Deep Learning for Structured Shape MatchingJean-Michel Roufosse, Abhishek Sharma, Maks OvsjanikovICCV 2019 · 被引用 160 次
- Correspondence learning via linearly-invariant embeddingRiccardo Marin, Marie-Julie Rakotosaona, Simone Melzi, Maks OvsjanikovNeurIPS 2020 · 被引用 82 次
- Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network LearningRunzhong Wang, Junchi Yan, Xiaokang YangNeurIPS 2020 · 被引用 39 次
- Smooth Shells: Multi-Scale Shape Registration With Functional MapsMarvin Eisenberger, Zorah Lähner, Daniel CremersCVPR 2020
相关 Paper
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- EchoMatch: Partial-to-Partial Shape Matching via Correspondence ReflectionYizheng Xie, Viktoria Ehm, Paul Roetzer, Nafie El Amrani 等CVPR 2025
- Partial-to-Partial Shape Matching with Geometric ConsistencyViktoria Ehm, Maolin Gao, Paul Roetzer, Marvin Eisenberger 等CVPR 2024
