Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
☆163Dec 12, 2024Updated last year
Alternatives and similar repositories for SimpleView
Users that are interested in SimpleView are comparing it to the libraries listed below
Sorting:
- [ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis☆191Mar 5, 2025Updated last year
- Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019☆250Aug 11, 2022Updated 3 years ago
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆306Dec 25, 2023Updated 2 years ago
- PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.☆212Jan 17, 2020Updated 6 years ago
- PyTorch implementation of SimpleView from "Revisiting Point Cloud Classification with a Simple and Effective Baseline", Goyal et al. (202…☆14Apr 1, 2021Updated 4 years ago
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆259Dec 16, 2020Updated 5 years ago
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)☆426Sep 30, 2021Updated 4 years ago
- Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)☆218Dec 3, 2020Updated 5 years ago
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Jan 30, 2023Updated 3 years ago
- Geometric Back-projection Network for Point Cloud Classification (IEEE Transactions on Multimedia, TMM 2021)☆54Apr 8, 2022Updated 3 years ago
- Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>☆347Aug 30, 2021Updated 4 years ago
- [ICCV '21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"☆240Jun 24, 2024Updated last year
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆131Jul 26, 2023Updated 2 years ago
- Geometry Sharing Network for 3D Point Cloud Classification and Segmentation☆49Dec 24, 2019Updated 6 years ago
- Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".☆135Jan 24, 2021Updated 5 years ago
- our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification', Neurocomputing, 2022☆61Jul 19, 2022Updated 3 years ago
- ☆26Oct 3, 2023Updated 2 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆1,010Dec 1, 2023Updated 2 years ago
- Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296☆216Aug 26, 2023Updated 2 years ago
- [CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"☆337Nov 2, 2022Updated 3 years ago
- Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation☆97Dec 5, 2020Updated 5 years ago
- This is the official implementation of the paper - GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Trainin…☆76Jul 18, 2023Updated 2 years ago
- [NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training☆225May 4, 2023Updated 2 years ago
- This is an unofficial implementation of the Point Transformer paper.☆631Apr 19, 2022Updated 3 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆589Feb 2, 2025Updated last year
- [ICCV'21] Pri3D: Can 3D Priors Help 2D Representation Learning?☆150Dec 17, 2021Updated 4 years ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆103Jul 1, 2024Updated last year
- Kernel Point Convolution implemented in PyTorch☆877Oct 17, 2025Updated 5 months ago
- This is the official Pytorch implementation of our paper "PointNorm: Normalization is All You Need for Point Cloud Analysis""☆54Aug 28, 2023Updated 2 years ago
- [CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders☆230Aug 10, 2023Updated 2 years ago
- Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)☆70Dec 24, 2024Updated last year
- [CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation☆186Apr 4, 2023Updated 2 years ago
- Dense-Resolution Network for Point Cloud Classification and Segmentation (WACV 2021)☆35May 5, 2021Updated 4 years ago
- 3D object detection based on pointpillar and fcos☆10Aug 28, 2019Updated 6 years ago
- Point Transformers☆723Mar 13, 2024Updated 2 years ago
- PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)☆1,427Mar 12, 2026Updated last week
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆676Apr 12, 2022Updated 3 years ago
- (NeurlPS 2022) Towards Efficient 3D Object Detection with Knowledge Distillation☆125Jul 26, 2023Updated 2 years ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆673Mar 22, 2025Updated last year