SEDFMNet: A Simple and Efficient Unsupervised Functional Map for Shape Correspondence Based on Deconstruction

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Haojun Xu, Qinsong Li, Ling Hu, Shengjun Liu, Haibo Wang, Xinru Liu

Published: 2025, Last Modified: 04 Aug 2025Graph. Model. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•The proposed SEDFMNet is simpler and more effective than the existing work;•The success of our SEDFMNet reveals several hidden facts about the DFM structure;•An effective new method can be deconstructed from existing work