SIGGRAPH23: Unsupervised Learning of Robust Spectral Shape Matching
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Updated
Apr 30, 2024 - Python
SIGGRAPH23: Unsupervised Learning of Robust Spectral Shape Matching
Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)
CVPR23 (Highlight): Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
Neurips 2020 paper on weakly supervised deep functional maps for shape matching
A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"
ECCV22: Unsupervised Deep Multi-Shape Matching
A Pytorch implementation of: "Deep Functional Maps: Structured Prediction for Dense Shape Correspondence"
A pytorch implementation of: "Unsupervised Deep Learning for Structured Shape Matching"
CVPR24: Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation
Accompanying code for "An Elastic Basis for Spectral Shape Correspondence"
Object oriented code of our ICCV 2019 oral paper SURFMNet http://openaccess.thecvf.com/content_ICCV_2019/html/Roufosse_Unsupervised_Deep_Learning_for_Structured_Shape_Matching_ICCV_2019_paper.html
Geometry processing with functional maps.
Totally functional view of geometric matrix completion
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