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LNIE: Robust Partial-to-Partial Shape Matching via Localized Neural Intrinsic Embeddings
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf02288916openalex-snapshot
Multidimensional Scaling: I. Theory and Method
inferredcites →https://doi.org/10.1016/j.cad.2005.10.011openalex-snapshot
Laplace–Beltrami spectra as ‘Shape-DNA’ of surfaces and solids
inferredcites →https://doi.org/10.1016/j.patcog.2006.12.026openalex-snapshot
Efficient 3D shape matching and retrieval using a concrete radialized spherical projection representation
inferredcites →https://doi.org/10.1109/tip.2019.2909197openalex-snapshot
Global 3D Non-Rigid Registration of Deformable Objects Using a Single RGB-D Camera
inferredcites →https://doi.org/10.1109/tvcg.2012.310openalex-snapshot
Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid
inferredcites →https://doi.org/10.1109/tvcg.2018.2832136openalex-snapshot
Robust Non-Rigid Registration with Reweighted Position and Transformation Sparsity
inferredcites →https://doi.org/10.1111/cgf.13253openalex-snapshot
Adjoint Map Representation for Shape Analysis and Matching
inferredcites →https://doi.org/10.1111/j.1467-8659.2009.01515.xopenalex-snapshot
A Concise and Provably Informative Multi‐Scale Signature Based on Heat Diffusion
inferredcites →https://doi.org/10.1145/1015706.1015736openalex-snapshot
Deformation transfer for triangle meshes
inferredcites →https://doi.org/10.1145/2601097.2601111openalex-snapshot
Functional map networks for analyzing and exploring large shape collections
inferredcites →https://doi.org/10.1145/3202660openalex-snapshot
Reversible Harmonic Maps between Discrete Surfaces
inferredcites →https://doi.org/10.1145/3272127.3275040openalex-snapshot
Continuous and orientation-preserving correspondences via functional maps
inferredcites →https://doi.org/10.1145/3326362openalex-snapshot
Dynamic Graph CNN for Learning on Point Clouds
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