Implementation of CVPR2022 paper: "Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching".
☆25Nov 23, 2022Updated 3 years ago
Alternatives and similar repositories for DUO-FM
Users that are interested in DUO-FM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Complex Functional Maps☆18Jan 18, 2023Updated 3 years ago
- Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching (NeurIPS 2022)☆19Oct 27, 2022Updated 3 years ago
- Neurips 2020 paper on weakly supervised deep functional maps for shape matching☆26Sep 30, 2020Updated 5 years ago
- ☆46May 17, 2022Updated 3 years ago
- ☆16May 11, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- code for paper "Continuous and Orientation-preserving Correspondence via Functional Maps"☆37Feb 25, 2020Updated 6 years ago
- ☆14Jan 7, 2025Updated last year
- CVPR 2024, Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching☆20Mar 25, 2025Updated last year
- A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"☆25Dec 26, 2023Updated 2 years ago
- ☆52May 28, 2020Updated 5 years ago
- SIGGRAPH23: Unsupervised Learning of Robust Spectral Shape Matching☆68Apr 30, 2024Updated last year
- PyTorch common framework to accelerate network implementation, training and validation☆17Apr 22, 2025Updated 11 months ago
- Multi-Scale Shape Registration with Functional Maps☆28Nov 30, 2020Updated 5 years ago
- Non-Rigid Shape Registration via Deep Functional Maps Prior☆23Apr 23, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆14Mar 5, 2021Updated 5 years ago
- Sample code for Fast Sinkhorn Filters - from CVPR 2021☆19Jun 1, 2021Updated 4 years ago
- ECCV22: Unsupervised Deep Multi-Shape Matching☆23Oct 18, 2022Updated 3 years ago
- ☆23Jul 12, 2022Updated 3 years ago
- ☆93Mar 7, 2019Updated 7 years ago
- ☆11Mar 24, 2023Updated 3 years ago
- the official implementation of the paper "Isometric Multi-Shape Matching" (CVPR 2021)☆12Dec 3, 2021Updated 4 years ago
- code for Implicit Neural Surface Deformation with Explicit Velocity Fields (ICLR2025)☆27Jun 4, 2025Updated 10 months ago
- DAMP: Dynamical Pose Estimation☆19Aug 11, 2021Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Implementation of the paper Implicit Field Supervision for Robust Non-rigid Shape Matching☆22Aug 12, 2022Updated 3 years ago
- Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.☆492Aug 8, 2022Updated 3 years ago
- ☆14May 6, 2021Updated 4 years ago
- A simple Matlab rendering toolbox☆14Mar 2, 2020Updated 6 years ago
- [NeurIPS'21] This repository is the implementation of "Learning 3D Dense Correspondence via Canonical Point Autoencoder"☆20Feb 16, 2022Updated 4 years ago
- code and data associated with the paper "Unsupervised Deep Learning for Structured Shape Matching"☆51Jul 14, 2025Updated 9 months ago
- Implementation of the paper "Surface Maps via Adaptive Triangulations" (Eurographics 2023)☆57May 11, 2023Updated 2 years ago
- ☆26Apr 13, 2023Updated 3 years ago
- A Pytorch implementation of: "Deep Functional Maps: Structured Prediction for Dense Shape Correspondence"☆21Jun 9, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- VASAD: a Volume and Semantic dataset for Building Reconstruction from Point Clouds☆17Jun 6, 2022Updated 3 years ago
- Official implementation of PoNQ☆66Nov 4, 2024Updated last year
- ☆20Dec 3, 2023Updated 2 years ago
- Semantic point cloud segmentation with graph convolutional network☆10Dec 10, 2017Updated 8 years ago
- Code Release for WACV 2024 , "SSP: Semi-signed prioritized neural fitting for surface reconstruction from unoriented point clouds"☆26Jan 8, 2024Updated 2 years ago
- Source code for serveral papers on discrete Laplace operators on general polygons and polyhedral meshes☆41May 6, 2024Updated last year
- ☆15Aug 23, 2021Updated 4 years ago