Experiments on unsupervised point cloud reconstruction.
☆171Jun 11, 2022Updated 3 years ago
Alternatives and similar repositories for UnsupervisedPointCloudReconstruction
Users that are interested in UnsupervisedPointCloudReconstruction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆517Sep 20, 2022Updated 3 years ago
- ☆15Feb 12, 2019Updated 7 years ago
- Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cl…☆241Mar 24, 2023Updated 3 years ago
- PyTorch reimplementation of FoldingNet☆38Nov 17, 2019Updated 6 years ago
- Autoencoder for Point Clouds☆439Oct 8, 2023Updated 2 years ago
- 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.
- (BMVC 2020 Oral) Neighbourhood-Insensitive Point Cloud Normal Estimation Network☆10Jun 30, 2025Updated 10 months ago
- Source code of "Point Set Voting for Partial Point Clouds Analysis"☆15Jan 5, 2021Updated 5 years ago
- Code for FoldingNet based on Caffe for unsupervised deep learning on point clouds☆19Feb 10, 2023Updated 3 years ago
- ☆1,833May 20, 2022Updated 4 years ago
- [ICCV '21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"☆239Jun 24, 2024Updated last year
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆808Oct 29, 2022Updated 3 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆393Jun 25, 2023Updated 2 years ago
- Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)☆133Aug 15, 2021Updated 4 years ago
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)☆425Sep 30, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)☆448Apr 8, 2022Updated 4 years ago
- ☆21Feb 12, 2019Updated 7 years ago
- CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion☆370May 26, 2021Updated 4 years ago
- [CVPR 2020] FPConv: Learning Local Flattening for Point Convolution☆130Nov 3, 2021Updated 4 years ago
- Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)☆218Dec 3, 2020Updated 5 years ago
- Adversarial Autoencoders for Compact Representations of 3D Point Clouds☆72Dec 22, 2021Updated 4 years ago
- Torch PointNet auto encoder implementation.☆20Nov 28, 2018Updated 7 years ago
- Auto-encoding & Generating 3D Point-Clouds.☆559Oct 28, 2019Updated 6 years ago
- Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation☆97Dec 5, 2020Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- DPDist : Comparing Point Clouds Using Deep Point Cloud Distance (ECCV2020)☆65Apr 23, 2022Updated 4 years ago
- Code release for "From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks" (CVPR 2020)☆22May 6, 2020Updated 6 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆593Feb 2, 2025Updated last year
- Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"☆163Dec 12, 2024Updated last year
- Pytorch framework for doing deep learning on point clouds.☆2,698Mar 16, 2026Updated 2 months ago
- Kernel Point Convolutions☆780Feb 23, 2021Updated 5 years ago
- PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows☆864Aug 7, 2024Updated last year
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆857Jun 28, 2025Updated 10 months ago
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆259Dec 16, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- pytorch version of PointConv☆297Nov 19, 2020Updated 5 years ago
- PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and th…☆22May 29, 2019Updated 6 years ago
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)☆267Oct 15, 2021Updated 4 years ago
- 3D Point Capsule Networks☆294Aug 1, 2022Updated 3 years ago
- PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889☆70Jul 9, 2020Updated 5 years ago
- Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"☆431Nov 10, 2019Updated 6 years ago
- ☆12Jan 10, 2020Updated 6 years ago