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LexiCan: Lexicographic Canonicalization of Point Clouds for Machine Learning Applications
Canonicalization resolves the rotational and permutation ambiguity of 3D point clouds by selecting a unique orbit representative, maintaining their geometric information while allowing standard architectures, such as Transformers, to operate on them. Existing canonicalizations, however, exhibit disc
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