sw-gong / FeaStNet
Pytorch reproduction of the paper "FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis" (CVPR 18)
☆16Updated 5 years ago
Alternatives and similar repositories for FeaStNet:
Users that are interested in FeaStNet are comparing it to the libraries listed below
- ☆20Updated 2 years ago
- MeshWalker implementation☆51Updated 4 years ago
- Official pytorch implementation for the paper "Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation,…☆34Updated 3 years ago
- ☆14Updated 4 years ago
- Learnable Deformations Among 3D Shapes.☆65Updated 4 years ago
- A python script to convert and down-sample mesh data into pointclouds using FPS algorithm.☆16Updated 3 years ago
- Implementation of CVPR2022 paper: "Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching".☆23Updated 2 years ago
- Code for the paper "PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames" (CVPR 2020).☆18Updated 4 years ago
- Multi Directional Geodesic Convolutional Neural Networks☆36Updated 4 years ago
- ☆9Updated 11 months ago
- pointcloud analysis☆23Updated 2 years ago
- ☆14Updated 2 years ago
- Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"☆12Updated 3 years ago
- ☆13Updated 5 years ago
- Improved MeshCNN for surface type segmention on realistic CAD models.☆17Updated 4 years ago
- Unsupervised Deep Shape Descriptor with Point Distribution Learning☆18Updated 4 years ago
- Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :☆33Updated 4 years ago
- Progressive conditional generative adversarial network for generating dense and colored 3D point clouds.☆26Updated 2 years ago
- Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds vi…☆58Updated 4 years ago
- SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform (TVCG2020)☆60Updated 2 months ago
- Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoenc…☆97Updated 3 years ago
- Neurips 2020 paper on weakly supervised deep functional maps for shape matching☆26Updated 4 years ago
- ☆28Updated last year
- Code base of ParSeNet: ECCV 2020.☆121Updated 4 years ago
- L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention☆11Updated 5 years ago
- ☆12Updated 4 years ago
- Joint Learning of 3D Shape Retrieval and Deformation, CVPR 2021☆55Updated 3 years ago
- An autoregressive model for point cloud generation augmented with self-attention☆27Updated 5 years ago
- CoSMA: Convolutional Semi-Regular Mesh Autoencoder. Accepted at WACV 2022☆20Updated 11 months ago
- ☆11Updated 4 years ago