ajhamdi / MVTNLinks
pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"
☆106Updated last year
Alternatives and similar repositories for MVTN
Users that are interested in MVTN are comparing it to the libraries listed below
Sorting:
- Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"☆163Updated 11 months ago
- ☆20Updated 4 years ago
- Code for CVPR 2021 oral paper "Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts"☆238Updated 3 years ago
- [CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation☆184Updated 2 years ago
- [ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis☆189Updated 8 months ago
- [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"☆103Updated 3 months ago
- Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)☆70Updated 10 months ago
- PointNet++ Semantic Segmentation on ScanNet in PyTorch with CUDA acceleration☆150Updated 2 years ago
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Updated 2 years ago
- Official implementation of Image2Point.☆126Updated 3 years ago
- ☆114Updated 5 years ago
- [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds☆126Updated 5 years ago
- Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".☆136Updated 4 years ago
- ☆26Updated 3 years ago
- https://arxiv.org/abs/2104.02246 One Thing One Click (CVPR 2021) https://arxiv.org/abs/2303.14727 One Thing One Click++ (Arxiv)☆58Updated 2 years ago
- Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)☆260Updated 2 years ago
- Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)☆21Updated 2 years ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated last year
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆131Updated 2 years ago
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆112Updated 2 years ago
- [ICML 2022] Benchmarking and Analyzing Point Cloud Classification under Corruptions https://arxiv.org/abs/2202.03377☆62Updated last year
- ☆25Updated 2 years ago
- Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>☆347Updated 4 years ago
- Pytorch code for view-GCN (CVPR2020)☆84Updated 11 months ago
- Learning with Noisy Labels for Robust Point Cloud Segmentation (ICCV2021 Oral)☆67Updated 3 years ago
- [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds☆95Updated 3 years ago
- Code repository for paper `Skeleton Merger: an Unsupervised Aligned Keypoint Detector`.☆75Updated 2 years ago
- [NeurIPS'21 Spotlight] ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning☆36Updated 3 years ago
- Self-Supervised Learning for Domain Adaptation on Point-Clouds☆91Updated 2 years ago
- Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation☆98Updated 4 years ago