riccardomarin / InstantRecoveryFromSpectrum
☆17Updated 2 years ago
Alternatives and similar repositories for InstantRecoveryFromSpectrum
Users that are interested in InstantRecoveryFromSpectrum are comparing it to the libraries listed below
Sorting:
- ☆14Updated 3 years ago
- ☆14Updated 3 years ago
- ☆14Updated 4 years ago
- Implementation of the paper: Cosmo et al, Isospectralization, or how to hear shape, style, and correspondence, arXiv 2018 https://arxiv.o…☆16Updated 2 years ago
- A small project implementing different per-vertex mesh signatures.☆39Updated 9 months ago
- Implementation of Complex Functional Maps☆16Updated 2 years ago
- ☆44Updated 2 years ago
- A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"☆26Updated last year
- Sample code for Fast Sinkhorn Filters - from CVPR 2021☆19Updated 3 years ago
- Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)☆41Updated 2 years ago
- ☆9Updated 3 years ago
- Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoenc…☆97Updated 3 years ago
- Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries☆58Updated 3 years ago
- CVPR 2024, Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching☆19Updated last month
- ☆92Updated 6 years ago
- ☆23Updated 2 years ago
- code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"☆49Updated 5 years ago
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆88Updated 3 months ago
- Implementation of the NeuroMorph method from CVPR 2021.☆46Updated 3 years ago
- Code for Learning Manifold Patch-Based Representations of Man-Made Shapes, in ICLR 2021.☆29Updated 4 years ago
- ☆51Updated 4 years ago
- Wrapper for Mikhail Belkin et. al's Pointcloud LB operator. Not dependent on PCL☆11Updated 11 years ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆114Updated 4 years ago
- ☆18Updated last year
- ☆14Updated 4 years ago
- Code for Mesh Convolution Using a Learned Kernel Basis☆54Updated 2 years ago
- Official implementation of Field Convolutions for Surface CNNs [ICCV 2021 Oral]☆18Updated 11 months ago
- A pytorch implementation of: "Unsupervised Deep Learning for Structured Shape Matching"☆16Updated 3 years ago
- Neurips 2020 paper on weakly supervised deep functional maps for shape matching☆26Updated 4 years ago
- Neural Surface Maps☆65Updated 11 months ago