threedle / LoopDraw
☆6Updated 11 months ago
Alternatives and similar repositories for LoopDraw
Users that are interested in LoopDraw are comparing it to the libraries listed below
Sorting:
- A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"☆26Updated last year
- Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)☆41Updated 2 years ago
- Implementation of Complex Functional Maps☆16Updated 2 years ago
- Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries☆58Updated 3 years ago
- ☆44Updated 2 years ago
- Neural Surface Maps☆65Updated 11 months ago
- Official implementation of the Discrete Optimization and Smooth Discrete Optimization papers☆17Updated last year
- ☆9Updated 3 years ago
- Animation Nodes script for loading and rendering point clouds in Blender☆19Updated 3 years ago
- code for paper "Continuous and Orientation-preserving Correspondence via Functional Maps"☆35Updated 5 years ago
- DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates☆83Updated 2 years ago
- Code for the paper Shape Reconstruction by Learning Differentiable Surface Representations accepted to CVPR'20☆26Updated 2 years ago
- code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"☆49Updated 5 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆90Updated 4 years ago
- Multi-Scale Shape Registration with Functional Maps☆24Updated 4 years 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
- ☆11Updated 2 years ago
- ☆39Updated 11 months ago
- Wrapper for Mikhail Belkin et. al's Pointcloud LB operator. Not dependent on PCL☆11Updated 11 years ago
- Official pytorch implementation of DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces☆23Updated 4 years ago
- A Pytorch implementation of: "Deep Functional Maps: Structured Prediction for Dense Shape Correspondence"☆18Updated 3 years ago
- ☆105Updated 2 years ago
- ☆86Updated 10 months ago
- ☆48Updated 5 months ago
- ☆134Updated 3 weeks ago
- implicit displacement field☆125Updated 2 years ago
- Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.☆54Updated 4 years ago
- ☆51Updated 4 years ago
- ☆49Updated 4 years ago