diegovalsesia / HyCoReLinks
Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)
☆29Updated 2 years ago
Alternatives and similar repositories for HyCoRe
Users that are interested in HyCoRe are comparing it to the libraries listed below
Sorting:
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆74Updated 2 years ago
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆43Updated last year
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated last year
- ☆38Updated 9 months ago
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆129Updated 2 years ago
- [ECCV 2022] Few-shot class incremental learning on 3D point clouid objects☆29Updated 2 years ago
- Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter (ECCV 2022)☆35Updated 9 months ago
- Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)☆255Updated 2 years ago
- ☆25Updated 10 months ago
- pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"☆104Updated last year
- PyTorch DistriubtedDataParallel (DDP) implementation of the CVPR 2022 Paper CrossPoint.☆17Updated 2 years ago
- PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation [CVPR 2024]☆39Updated this week
- [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"☆102Updated last month
- 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
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆147Updated last year
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆107Updated last year
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆109Updated 5 months ago
- ☆42Updated last year
- ☆19Updated 3 years ago
- [CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation☆181Updated 2 years ago
- [TIP 2022] SegGroup: Seg-level Supervision for 3D Instance and Semantic Segmentation☆48Updated 2 years ago
- Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)☆21Updated 2 years ago
- ☆25Updated 2 years ago
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆11Updated last year
- [ECCV 2022] "Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction" by Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tian…☆19Updated 2 years ago
- Code for the paper "Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds" (ICCV 2021)☆78Updated 3 years ago
- (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
- The source code of PRA-Net.☆27Updated 3 years ago
- [CVPR 2024] This repo contains the code for our paper: Rethinking Few-shot 3D Point Cloud Semantic Segmentation☆103Updated 3 months ago