JonasSchult / dcm-netView external linksLinks
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.
☆129Nov 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
Sorting:
- Multi Directional Geodesic Convolutional Neural Networks☆36Jun 5, 2020Updated 5 years ago
- Primal-Dual Mesh Convolutional Neural Networks☆117Jan 20, 2022Updated 4 years ago
- ☆14Sep 20, 2020Updated 5 years ago
- ☆12Aug 17, 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
- CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"☆132Nov 3, 2021Updated 4 years ago
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆259Dec 16, 2020Updated 5 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
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）☆267Oct 15, 2021Updated 4 years ago
- Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)☆217Dec 3, 2020Updated 5 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆393Jun 25, 2023Updated 2 years ago
- Geometric deep learning for surface parsing from 3-D triangular meshes☆139Oct 3, 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
- Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points☆29Feb 26, 2020Updated 5 years ago
- End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds (CVPR2020)☆61Jul 25, 2024Updated last year
- Rotation Invariant Convolutions for 3D Point Clouds Deep Learning☆58Sep 14, 2019Updated 6 years ago
- TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes☆96Jul 12, 2019Updated 6 years ago
- [CVPR 2020] Multi Proposal Aggregation for 3D Semantic Instance Segmentation☆75May 23, 2023Updated 2 years ago
- Fit Planes for CAD models☆20Feb 24, 2020Updated 5 years ago
- Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds☆173Dec 8, 2020Updated 5 years ago
- Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)☆132Aug 15, 2021Updated 4 years ago
- ☆14Apr 18, 2021Updated 4 years ago
- Grid-GCN for Fast and Scalable Point Cloud Learning☆186Mar 19, 2020Updated 5 years ago
- Pointwise Rotation-Invariant Network (AAAI 2020)☆88Feb 25, 2021Updated 4 years ago
- This project releases the code for the Paper "Going Deeper with Point Networks"☆60Dec 12, 2019Updated 6 years ago
- A learned sampling approach for point clouds (CVPR 2019)☆182May 5, 2024Updated last year
- official implementation for our ICCV 2019 paper : Voxel VAE Net with Group Convolutions for Point Cloud Segmentation☆20Jan 4, 2023Updated 3 years ago
- Kernel Point Convolutions☆775Feb 23, 2021Updated 4 years ago
- MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)☆374Jul 25, 2024Updated last year
- ☆14Jul 6, 2021Updated 4 years ago
- Convolutional Neural Network for 3D meshes in PyTorch☆1,714Feb 7, 2024Updated 2 years ago
- PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions☆47Sep 15, 2020Updated 5 years ago
- A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"☆25Dec 26, 2023Updated 2 years ago
- Adversarial Autoencoders for Compact Representations of 3D Point Clouds☆73Dec 22, 2021Updated 4 years ago
- Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019☆250Aug 11, 2022Updated 3 years ago
- Code for the paper Label-Efficient Learning on Point Clouds usingApproximate Convex Decompositions.☆40Dec 12, 2020Updated 5 years ago
- Octree guided cnn with spherical kernels for 3D point clouds☆22May 16, 2019Updated 6 years ago
- 3D Point Capsule Networks☆294Aug 1, 2022Updated 3 years ago
- Implementation of ECCV2020 paper - JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds☆133Mar 16, 2021Updated 4 years ago