Yukichiii / Swin3D_Task
The Experiment Code for Swin3D
☆33Updated last year
Alternatives and similar repositories for Swin3D_Task:
Users that are interested in Swin3D_Task are comparing it to the libraries listed below
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆63Updated last year
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Updated 2 years ago
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆94Updated 10 months ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆93Updated last year
- ☆141Updated 2 years ago
- ☆169Updated last year
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆130Updated 3 months ago
- 🔥GrowSP in PyTorch (CVPR 2023)☆173Updated last year
- Point Mamba☆112Updated 10 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
- Point Could Mamba: Point Cloud Learning via State Space Model☆69Updated 3 months ago
- Official repository for TPAMI2024 "A Survey of Label-Efficient Deep Learning for 3D Point Clouds"☆55Updated last year
- Official implementation of "Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation"☆64Updated 10 months ago
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆129Updated last year
- Code release for our NeurIPS 2023 paper "Uni3DETR: Unified 3D Detection Transformer", our ECCV 2024 paper "OV-Uni3DETR: Towards Unified O…☆95Updated 7 months ago
- Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks☆103Updated 2 years ago
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆140Updated 7 months ago
- Point Cloud Mamba: Point Cloud Learning via State Space Model☆98Updated 9 months ago
- [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
- [ICCV2023] Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization☆30Updated 2 months ago
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆29Updated 11 months ago
- All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)☆28Updated last year
- Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".☆53Updated last year
- SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)☆116Updated last year
- (CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds☆65Updated last year
- [IJCV 2024] P3Former: Position-Guided Point Cloud Panoptic Segmentation Transformer☆79Updated 11 months ago
- ☆50Updated last year
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆11Updated last year
- Official PyTorch implementation of DeLA☆52Updated 8 months ago