OpenCodePapers

3d-dense-shape-correspondence-on-shrec-19

3D Shape Representation3D Dense Shape Correspondence
Dataset Link
Results over time
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PaperCodeEuclidean Mean Error (EME)Accuracy at 1%ModelNameReleaseDate
Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features✓ Link1.726.4Diffusion 3D Features (Zero-shot)2023-11-28
Unsupervised Template-assisted Point Cloud Shape Correspondence Network4.521.5TANet (Trained on Surreal)2024-03-25
SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence✓ Link4.621.5SE-ORNet (Trained on Surreal)2023-04-10
SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence✓ Link5.117.5SE-ORNet2023-04-10
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction✓ Link5.615.3DPC2021-10-16
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction✓ Link6.117.7DPC (Trained on Surreal)2021-10-16
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds✓ Link6.96.0CorrNet3D (Trained on Surreal)2020-12-31
Correspondence Learning via Linearly-invariant Embedding✓ Link7.14.0Diff-FMaps (Trained on Surreal)2020-10-25
Learning elementary structures for 3D shape generation and matching✓ Link7.62.3Elementery Structures(Trained on Surreal)2019-08-13
3D-CODED : 3D Correspondences by Deep Deformation✓ Link8.12.13DCODED (Trained on Surreal)2018-06-13
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds✓ Link33.80.4CorrNet3D2020-12-31