Geometric deep learning for surface parsing from 3-D triangular meshes
☆139Oct 3, 2023Updated 2 years ago
Alternatives and similar repositories for PicassoPlus
Users that are interested in PicassoPlus are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Primal-Dual Mesh Convolutional Neural Networks☆117Jan 20, 2022Updated 4 years ago
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.☆86Oct 20, 2021Updated 4 years ago
- ☆14Sep 20, 2020Updated 5 years ago
- Mesh Neural Networks Based on Dual Graph Pyramids☆23May 9, 2023Updated 2 years ago
- Laplacian2Mesh: Laplacian-Based Mesh Understanding☆56Jul 5, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- some materials about mesh processing, including papers, videos, codes, and so on. Updating every day!☆332Jun 1, 2024Updated last year
- This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Co…☆128Nov 27, 2022Updated 3 years ago
- Implementation of ICCV2021(Oral) paper - VMNet: Voxel-Mesh Network for Geodesic-aware 3D Semantic Segmentation☆101Aug 22, 2022Updated 3 years ago
- Octree guided cnn with spherical kernels for 3D point clouds☆22May 16, 2019Updated 6 years ago
- Python implementation of Surface Simplification Using Quadric Error Metrics☆14Jul 9, 2019Updated 6 years ago
- Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"☆71Mar 30, 2023Updated 3 years ago
- [ISPRS'2020] Semantic mesh segmentation using point based deep neural network PointNet/PointNet++☆13Aug 6, 2020Updated 5 years ago
- Convolutional Neural Network for 3D meshes in PyTorch☆1,724Feb 7, 2024Updated 2 years ago
- Subdivision-based Mesh Convolutional Networks.☆286Oct 21, 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.
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20☆141Jun 2, 2023Updated 2 years ago
- Convert any Triangle Mesh to Watertight Manifold☆704Jul 1, 2020Updated 5 years ago
- Graph Cut Algorithm in CUDA☆28Jun 1, 2019Updated 6 years ago
- ☆23Aug 1, 2022Updated 3 years ago
- prototype code for neural subdivision☆136Mar 17, 2023Updated 3 years ago
- A list of resources about deep learning solutions on 3D shape processing☆359Aug 23, 2021Updated 4 years ago
- ☆12Mar 6, 2020Updated 6 years ago
- Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds☆172Dec 8, 2020Updated 5 years ago
- SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel☆32Jun 4, 2020Updated 5 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.
- An Efficient Implementation of Analytic Mesh Algorithm for 3D Iso-surface Extraction from Neural Networks☆77May 13, 2022Updated 3 years ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆116May 13, 2021Updated 4 years ago
- MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)☆374Jul 25, 2024Updated last year
- Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding☆10Jan 5, 2026Updated 3 months ago
- Code for the paper Label-Efficient Learning on Point Clouds usingApproximate Convex Decompositions.☆40Dec 12, 2020Updated 5 years ago
- Convolutional Neural Network for medical 3D meshes in PyTorch☆23Sep 9, 2020Updated 5 years ago
- [ICCV 2021] "HPNet: Deep Primitive Segmentation Using Hybrid Representations"☆76Apr 13, 2023Updated 3 years ago
- TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes☆96Jul 12, 2019Updated 6 years ago
- PyTorch 1.2 implementation of BSP-NET.☆187Jun 28, 2022Updated 3 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.
- A pytorch implementation of: "Unsupervised Deep Learning for Structured Shape Matching"☆16Jun 9, 2021Updated 4 years ago
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆259Dec 16, 2020Updated 5 years ago
- Official implementation of YOGO for point-cloud processing☆81Aug 19, 2021Updated 4 years ago
- [ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering (Jittor)☆11Sep 16, 2022Updated 3 years ago
- Toolbox to create manual segmentations and map segmentation results to different resolutions☆31Sep 8, 2020Updated 5 years ago
- Official Repository of NeurIPS2021 paper: PTR☆32Dec 17, 2021Updated 4 years ago
- Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.☆491Aug 8, 2022Updated 3 years ago