marios2019 / learning_part_boundariesLinks
☆38Updated 5 years ago
Alternatives and similar repositories for learning_part_boundaries
Users that are interested in learning_part_boundaries are comparing it to the libraries listed below
Sorting:
- ☆62Updated 3 years ago
- [ICCV 2021] "HPNet: Deep Primitive Segmentation Using Hybrid Representations"☆71Updated 2 years ago
- PrimitiveNet: Primitive Instance Segmentation with Local Primitive Embedding under Adversarial Metric (ICCV 2021)☆65Updated 3 years ago
- Code base of ParSeNet: ECCV 2020.☆134Updated 5 years ago
- exe for TASE 2021☆17Updated last year
- Cascaded Primitive Fitting Networks for High-Resolution Point Clouds☆24Updated 2 years ago
- ☆47Updated 4 years ago
- Finding Good Configurations of Planar Primitives, CVPR2022. Code from https://team.inria.fr/titane/software/☆46Updated 3 years ago
- Joint Learning of 3D Shape Retrieval and Deformation, CVPR 2021☆54Updated 4 years ago
- How do I render point clouds?☆29Updated 5 years ago
- Deep learning, rigid registration, intersected lines, robust metric for point cloud,iccv2021☆37Updated 4 years ago
- Point2Skeleton: Learning Skeletal Representations from Point Clouds (CVPR2021)☆227Updated 3 months ago
- Official implementation for NerVE CVPR2023☆44Updated 2 years ago
- The official implementation of the "HyperPocket: Generative Point Cloud Completion" paper in PyTorch☆31Updated 4 years ago
- ☆52Updated 3 years ago
- Point Cloud Upsampling via Disentangled Refinement, CVPR, 2021☆72Updated 4 years ago
- [TPAMI 2024] A Survey and Benchmark for Automatic Surface Reconstruction from Point Clouds☆39Updated 6 months ago
- Surface and Edge Detection for Primitive Fitting of Point Clouds,SIGGRAPH 2023☆71Updated last year
- Deep Implicit Moving Least-Squares Functions for 3D Reconstruction☆137Updated 2 years ago
- Point cloud processing tool library.☆91Updated 3 years ago
- ICCV2021 Oral SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks☆96Updated 2 years ago
- Official implementation of the SIGGRAPH-2022 paper "DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes"☆56Updated 2 years ago
- ☆59Updated 2 years ago
- Implementation of The paper SA_Net for point cloud completion☆33Updated 5 years ago
- Source code for "Supervised Fitting of Geometric Primitives to 3D Point Clouds" [CVPR 2019].☆178Updated 4 years ago
- Code for the paper "DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares"☆145Updated 2 years ago
- Code Release for ICCV 2021 (oral), "AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds"☆50Updated 3 years ago
- Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces☆77Updated last year
- Normal estimation for unstructured 3D point clouds using convolutional neural networks and a Mixture of Experts scale predictor.☆46Updated 3 years ago
- Official PyTorch implementation of ICCV 2023 paper: E3Sym: Leveraging E(3) Invariance for Unsupervised 3D Planar Reflective Symmetry Dete…☆23Updated 2 years ago