matheusgadelha / PointCloudLearningACDLinks
Code for the paper Label-Efficient Learning on Point Clouds usingApproximate Convex Decompositions.
☆40Updated 4 years ago
Alternatives and similar repositories for PointCloudLearningACD
Users that are interested in PointCloudLearningACD are comparing it to the libraries listed below
Sorting:
- DPDist : Comparing Point Clouds Using Deep Point Cloud Distance (ECCV2020)☆63Updated 3 years ago
- ☆52Updated 5 years ago
- Neurips 2020 paper on weakly supervised deep functional maps for shape matching☆26Updated 4 years ago
- An autoregressive model for point cloud generation augmented with self-attention☆28Updated 5 years ago
- Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"☆71Updated 2 years ago
- A zero-shot segmentation framework for 3D shapes.☆38Updated last year
- PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions☆47Updated 4 years ago
- Deformation-Aware 3D Model Embedding and Retrieval, ECCV 2020☆54Updated 3 years ago
- EC-Net: an Edge-aware Point set Consolidation Network, ECCV, 2018☆99Updated 3 years ago
- This project releases the code for the Paper "Going Deeper with Point Networks"☆60Updated 5 years ago
- ☆41Updated 2 years ago
- Code release for "From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks" (CVPR 2020)☆22Updated 5 years ago
- Official implementation of the ECCV 2020 Oral Paper "Quaternion Equivariant Capsule Networks for 3D Point Clouds"☆44Updated 3 years ago
- End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds (CVPR2020)☆61Updated last year
- Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :☆34Updated 4 years ago
- Discrete Rotation Equivariance for Point Cloud Recognition. ICRA 2019☆23Updated 6 years ago
- a pytorch extension for learning point clouds☆35Updated 5 years ago
- Registration Loss Learning for Deep Probabilistic Point Set Registration☆41Updated 3 years ago
- Code used in the research project CAD-Deform: Deformable Fitting of CAD Models to 3D Scans☆94Updated 4 months ago
- PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and th…☆20Updated 6 years ago
- Pytorch Implementation of https://github.com/shubhtuls/volumetricPrimitives☆55Updated 7 years ago
- Neural implicit reconstruction experiments for the Vector Neuron paper☆44Updated 4 years ago
- [CVPR 2020] "Extreme Relative Pose Network under Hybrid Representations"☆24Updated 5 years ago
- [CVPR'21 Oral] MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization☆61Updated 3 years ago
- Code for Multiresolution Tree Networks for 3D Point Cloud Processing (ECCV 2018)☆44Updated 6 years ago
- Annotation webapp (javascript) used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans☆57Updated 2 years ago
- Point Convolutional Neural Networks by Extension Operators☆58Updated 5 years ago
- SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral☆77Updated 3 years ago
- Code for Spatial Semantic Embedding Network:Fast 3D Instance Segmentation with Deep Metric Learning☆41Updated last year
- Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds vi…☆59Updated 5 years ago