Yukichiii / Swin3D_TaskLinks
The Experiment Code for Swin3D
☆36Updated last year
Alternatives and similar repositories for Swin3D_Task
Users that are interested in Swin3D_Task are comparing it to the libraries listed below
Sorting:
- 🔥GrowSP in PyTorch (CVPR 2023)☆181Updated 2 years ago
- ☆153Updated 2 years ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆101Updated 2 years ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆227Updated last year
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆74Updated 2 years ago
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆67Updated last year
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆134Updated 7 months ago
- Official PyTorch implementation of DeLA☆55Updated last year
- Point Cloud Mamba: Point Cloud Learning via State Space Model☆117Updated last year
- ☆174Updated 2 years ago
- Official implementation of "Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation"☆79Updated last year
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆103Updated last year
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆130Updated last year
- Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".☆55Updated 2 years ago
- Official implementation of Image2Point.☆124Updated 2 years ago
- Point Mamba☆120Updated last year
- Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)☆253Updated 2 years ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated last year
- ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)☆141Updated 8 months ago
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆145Updated 11 months ago
- [AAAI2025] UniDet3D: Multi-dataset Indoor 3D Object Detection☆129Updated last month
- Official repository for TPAMI2024 "A Survey of Label-Efficient Deep Learning for 3D Point Clouds"☆60Updated 2 years ago
- Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)☆154Updated last year
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆11Updated last year
- A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).☆165Updated last year
- [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model☆129Updated 4 months ago
- (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey☆209Updated 2 years ago
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆109Updated 3 months ago
- Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks☆106Updated 2 years ago
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆106Updated last year