This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.
☆128Nov 27, 2022Updated 3 years ago
Alternatives and similar repositories for dcm-net
Users that are interested in dcm-net are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆14Sep 20, 2020Updated 5 years ago
- Primal-Dual Mesh Convolutional Neural Networks☆117Jan 20, 2022Updated 4 years ago
- Multi Directional Geodesic Convolutional Neural Networks☆37Jun 5, 2020Updated 5 years ago
- Implementation of ICCV2021(Oral) paper - VMNet: Voxel-Mesh Network for Geodesic-aware 3D Semantic Segmentation☆101Aug 22, 2022Updated 3 years ago
- TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes☆96Jul 12, 2019Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆12Aug 17, 2020Updated 5 years ago
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆259Dec 16, 2020Updated 5 years ago
- CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"☆132Nov 3, 2021Updated 4 years ago
- [ICRA 2020] Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds☆10Aug 15, 2021Updated 4 years ago
- Geometric deep learning for surface parsing from 3-D triangular meshes☆139Oct 3, 2023Updated 2 years ago
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）☆266Oct 15, 2021Updated 4 years ago
- [CVPR 2020] Multi Proposal Aggregation for 3D Semantic Instance Segmentation☆75May 23, 2023Updated 2 years ago
- Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)☆218Dec 3, 2020Updated 5 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆391Jun 25, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"☆25Dec 26, 2023Updated 2 years ago
- Code for the paper "PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames" (CVPR 2020).☆18Mar 31, 2021Updated 4 years ago
- Geodesic Convolutional Neural Network☆11May 20, 2019Updated 6 years ago
- Rotation Invariant Convolutions for 3D Point Clouds Deep Learning☆58Sep 14, 2019Updated 6 years ago
- MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)☆374Jul 25, 2024Updated last year
- Convolutional Neural Network for 3D meshes in PyTorch☆1,722Feb 7, 2024Updated 2 years ago
- Complete surface texture on partially textured 3D meshes using graph neural networks.☆18Apr 8, 2022Updated 3 years ago
- Fit Planes for CAD models☆20Feb 24, 2020Updated 6 years ago
- Subdivision-based Mesh Convolutional Networks.☆286Oct 21, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)☆132Aug 15, 2021Updated 4 years ago
- ☆14Apr 18, 2021Updated 4 years ago
- Kernel Point Convolutions☆776Feb 23, 2021Updated 5 years ago
- Grid-GCN for Fast and Scalable Point Cloud Learning☆185Mar 19, 2020Updated 6 years ago
- Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds☆172Dec 8, 2020Updated 5 years ago
- Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows☆88Apr 9, 2021Updated 4 years ago
- official implementation for our ICCV 2019 paper : Voxel VAE Net with Group Convolutions for Point Cloud Segmentation☆20Jan 4, 2023Updated 3 years ago
- End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds (CVPR2020)☆61Jul 25, 2024Updated last year
- A learned sampling approach for point clouds (CVPR 2019)☆182May 5, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆24Aug 15, 2020Updated 5 years ago
- This project releases the code for the Paper "Going Deeper with Point Networks"☆60Dec 12, 2019Updated 6 years ago
- Pytorch framework for doing deep learning on point clouds.☆2,695Mar 16, 2026Updated last week
- Pointwise Rotation-Invariant Network (AAAI 2020)☆88Feb 25, 2021Updated 5 years ago
- Convert any Triangle Mesh to Watertight Manifold☆701Jul 1, 2020Updated 5 years ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆115May 13, 2021Updated 4 years ago
- PU-GAN: a Point Cloud Upsampling Adversarial Network, ICCV, 2019☆294Nov 25, 2020Updated 5 years ago