Yukichiii / Swin3D_Task
The Experiment Code for Swin3D
☆34Updated last year
Alternatives and similar repositories for Swin3D_Task:
Users that are interested in Swin3D_Task are comparing it to the libraries listed below
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆93Updated 2 years ago
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆94Updated 11 months ago
- Point Cloud Mamba: Point Cloud Learning via State Space Model☆98Updated 9 months ago
- ☆141Updated 2 years ago
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Updated 2 years ago
- 🔥GrowSP in PyTorch (CVPR 2023)☆174Updated last year
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆63Updated last year
- Official implementation of "Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation"☆66Updated 10 months ago
- Point Mamba☆115Updated 10 months ago
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆142Updated 8 months ago
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆40Updated 7 months ago
- ☆169Updated last year
- Official PyTorch implementation of DeLA☆52Updated 8 months ago
- This is the official implementation of the paper - GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Trainin…☆68Updated last year
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆130Updated 3 months ago
- [NeurIPS2022] This is the official code of "CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds".☆95Updated last year
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated 8 months ago
- [CVPR 2024] This repo contains the code for our paper: Rethinking Few-shot 3D Point Cloud Semantic Segmentation☆80Updated this week
- Official repository for TPAMI2024 "A Survey of Label-Efficient Deep Learning for 3D Point Clouds"☆56Updated last year
- Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023☆108Updated 8 months ago
- All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)☆28Updated last year
- Point Could Mamba: Point Cloud Learning via State Space Model☆69Updated 3 months ago
- ☆28Updated 5 months ago
- This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).☆41Updated 10 months ago
- Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)☆147Updated last year
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆217Updated 8 months ago
- ☆51Updated last year
- [AAAI2025] UniDet3D: Multi-dataset Indoor 3D Object Detection☆99Updated 3 months ago
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆129Updated last year
- 🔥(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation☆90Updated 7 months ago