davidstutz / daml-shape-completionLinks
CVPR'18 implementation of (deterministic) amortized maximum likelihood (AML) for weakly-supervised shape completion.
☆24Updated 3 years ago
Alternatives and similar repositories for daml-shape-completion
Users that are interested in daml-shape-completion are comparing it to the libraries listed below
Sorting:
- Patch-base progressive 3D Point Set Upsampling☆171Updated last year
- Pytorch implementation of PCPNet☆187Updated 7 years ago
- This repository contains the code of our O-CNN paper.☆39Updated 6 years ago
- ☆97Updated 8 years ago
- Weakly supervised 3D Reconstruction with Adversarial Constraint☆80Updated 8 years ago
- EC-Net: an Edge-aware Point set Consolidation Network, ECCV, 2018☆102Updated 3 years ago
- Convert between binvox binary voxel and PCD file formats, for PCL (PointCloud Library).☆36Updated 9 years ago
- [CVPR'17] Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis☆143Updated 6 years ago
- CVPR 2018 paper "Learning 3D Shape Completion from Laser Scan Data with Weak Supervision".☆62Updated 7 years ago
- Implementation of Efficient Deformable Shape Correspondence via Kernel Matching (https://arxiv.org/abs/1707.08991).☆51Updated 7 years ago
- ☆47Updated 9 years ago
- ☆44Updated 6 years ago
- Code for SIGGRAPH 2011 paper GlobFit: Consistently Fitting Primitives by Discovering Global Relations☆36Updated 8 years ago
- Code for Multiresolution Tree Networks for 3D Point Cloud Processing (ECCV 2018)☆44Updated 7 years ago
- The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"☆142Updated last year
- Multi Directional Geodesic Convolutional Neural Networks☆36Updated 5 years ago
- C++ implementation of the SHOT 3D descriptor☆67Updated 4 years ago
- Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs☆159Updated 6 years ago
- Code used in the research project CAD-Deform: Deformable Fitting of CAD Models to 3D Scans☆94Updated 9 months ago
- TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes☆97Updated 6 years ago
- Torch PointNet auto encoder implementation.☆20Updated 7 years ago
- ☆52Updated 5 years ago
- ArXiv'18 pre-print "Learning 3D Shape Completion under Weak Supervision".☆15Updated 7 years ago
- ☆110Updated 4 years ago
- What Do Single-view 3D Reconstruction Networks Learn?☆100Updated 5 years ago
- Repository for 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image [BMVC 2018]☆117Updated 6 years ago
- a pytorch extension for learning point clouds☆36Updated 5 years ago
- Code for the paper Label-Efficient Learning on Point Clouds usingApproximate Convex Decompositions.☆40Updated 5 years ago
- Torch implementation of our ICCV 17 paper: "3D-PRNN, Generating Shape Primitives with Recurrent Neural Networks"☆70Updated 5 years ago
- ☆45Updated 6 years ago