nicolasdonati / DUO-FM
Implementation of CVPR2022 paper: "Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching".
☆22Updated 2 years ago
Alternatives and similar repositories for DUO-FM:
Users that are interested in DUO-FM are comparing it to the libraries listed below
- ☆13Updated 2 months ago
- ☆11Updated last year
- Neurips 2020 paper on weakly supervised deep functional maps for shape matching☆26Updated 4 years ago
- ☆14Updated 2 years ago
- Official implementation of paper "Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes"☆14Updated 4 years ago
- A pytorch implementation of: "Unsupervised Deep Learning for Structured Shape Matching"☆16Updated 3 years ago
- Implementation of Complex Functional Maps☆15Updated 2 years ago
- Official code release for our NeurIPS 2022 paper Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching☆15Updated last year
- CVPR23 (Highlight): Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching☆37Updated last year
- ☆43Updated 2 years ago
- Code for Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations☆69Updated 2 years ago
- ☆21Updated last year
- ☆14Updated 4 years ago
- Import a point cloud file and perform poisson 3D surface reconstruction algorithm, integrated with third-party libraries (e.g. open3d, py…☆43Updated 3 years ago
- Code for ECCV 2022 paper PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation☆42Updated 2 years ago
- Implementation of the NeuroMorph method from CVPR 2021.☆46Updated 3 years ago
- ☆38Updated last year
- A new dataset adapted from DeformThings4D for non-isometric shape matching task☆25Updated last year
- Multi-Scale Shape Registration with Functional Maps☆23Updated 4 years ago
- ☆14Updated 4 years ago
- Non-Rigid Shape Registration via Deep Functional Maps Prior☆19Updated 10 months ago
- ☆19Updated 10 months ago
- A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"☆25Updated last year
- ☆14Updated 3 years ago
- Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching (NeurIPS 2022)☆18Updated 2 years ago
- CVPR24: Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation☆13Updated 8 months ago
- PrimitiveNet: Primitive Instance Segmentation with Local Primitive Embedding under Adversarial Metric (ICCV 2021)☆64Updated 3 years ago
- ☆15Updated 2 years ago
- Official implementation of the Discrete Optimization and Smooth Discrete Optimization papers☆14Updated 11 months ago
- ☆12Updated 7 months ago