mlvlab / SageMix
Official Implementation (PyTorch) of "SageMix: Saliency-Guided Mixup for Point Clouds", NeurIPS 2022
☆25Updated last year
Alternatives and similar repositories for SageMix:
Users that are interested in SageMix are comparing it to the libraries listed below
- Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021☆38Updated 3 years ago
- MATE: Masked Autoencoders are Online 3D Test-Time Learners (ICCV 2023)☆21Updated last year
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆105Updated last year
- [ECCV 2022] "Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction" by Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tian…☆18Updated last year
- PyTorch Implementation of "diffConv: Analyzing Irregular Point Clouds with an Irregular View" (ECCV'22)☆28Updated last year
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Updated 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
- Official implementation of the paper "Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space"☆37Updated last year
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 2 years ago
- Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding☆19Updated 2 years ago
- [ECCV 2022] Few-shot class incremental learning on 3D point clouid objects☆27Updated 2 years ago
- The source code of PRA-Net.☆25Updated 3 years ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆93Updated 2 years ago
- This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).☆44Updated 11 months ago
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆104Updated last month
- [CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples☆31Updated 3 years ago
- ☆24Updated 2 years ago
- 🍀 Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu …☆45Updated last year
- This is the code related to "Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation" (CVPR 2023)☆31Updated last year
- Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter (ECCV 2022)☆31Updated 5 months ago
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆11Updated last year
- PyTorch DistriubtedDataParallel (DDP) implementation of the CVPR 2022 Paper CrossPoint.☆17Updated 2 years ago
- ☆28Updated 6 months ago
- Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)☆26Updated 2 years ago
- Code for "Collect-and-Distribute Transformer for 3D Point Cloud Analysis"☆15Updated last year
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆42Updated 8 months ago
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆47Updated 10 months ago
- Visualization tool for point cloud and feature extracted from deep learning network☆22Updated 3 years ago
- Geometric Back-projection Network for Point Cloud Classification (IEEE Transactions on Multimedia, TMM 2021)☆51Updated 3 years ago
- [NeurIPS'21 Spotlight] ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning☆35Updated 2 years ago