jiawei-ren / ModelNet-C
[ICML 2022] Benchmarking and Analyzing Point Cloud Classification under Corruptions https://arxiv.org/abs/2202.03377
☆61Updated 10 months ago
Alternatives and similar repositories for ModelNet-C:
Users that are interested in ModelNet-C are comparing it to the libraries listed below
- [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds☆93Updated 2 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
- Learning with Noisy Labels for Robust Point Cloud Segmentation (ICCV2021 Oral)☆63Updated 2 years ago
- Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation☆97Updated 4 years ago
- Domain Adaptation on Point Clouds via Geometry-Aware Implicits☆26Updated last year
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆130Updated last year
- [ICCV'21] Pri3D: Can 3D Priors Help 2D Representation Learning?☆149Updated 3 years ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆101Updated 9 months ago
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆105Updated last year
- Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)☆21Updated last year
- Official implementation of Image2Point.☆123Updated 2 years ago
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 2 years ago
- ☆5Updated 2 years ago
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆47Updated 9 months ago
- Masked Surfel Prediction for Self-Supervised Point Cloud Learning☆27Updated last year
- CVPR 2021 Oral https://arxiv.org/abs/2104.02243☆47Updated last year
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Updated 2 years ago
- Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".☆55Updated 2 years ago
- [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"☆102Updated 2 years ago
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆41Updated 8 months ago
- [Preprint 2022] “Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?” by Yi Wang, Zhiwen Fan, Tianlong Chen, Hehe Fan, Zh…☆61Updated 2 years ago
- a Pytorch library for multi-view 3D understanding and generation☆81Updated 4 months ago
- [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds☆122Updated 4 years ago
- Code for the paper "Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds" (ICCV 2021)☆77Updated 3 years ago
- ☆24Updated 2 years ago
- Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".☆132Updated 4 years ago
- Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"☆159Updated 4 months ago
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆31Updated last year
- [CVPR 2022] SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation☆45Updated 2 years ago
- Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning☆24Updated 7 months ago