hithqd / PointRWKVLinks
☆62Updated 5 months ago
Alternatives and similar repositories for PointRWKV
Users that are interested in PointRWKV are comparing it to the libraries listed below
Sorting:
- Point Mamba☆118Updated last year
- Point Cloud Mamba: Point Cloud Learning via State Space Model☆109Updated last year
- [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model☆123Updated 3 months ago
- Point Could Mamba: Point Cloud Learning via State Space Model☆70Updated 5 months ago
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆52Updated last year
- PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis☆62Updated 3 weeks ago
- [NeurIPS24 Spotlight] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection☆125Updated 8 months ago
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆103Updated last year
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆65Updated last year
- [NeurIPS 2024 Spotlight] PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders☆40Updated 3 months ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆95Updated 2 years ago
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆133Updated 5 months ago
- [ICLR 2025 Spotlight] Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation☆42Updated 3 weeks ago
- Official PyTorch implementation of DeLA☆54Updated 10 months ago
- [CVPR 2024] This repo contains the code for our paper: Rethinking Few-shot 3D Point Cloud Semantic Segmentation☆93Updated 3 weeks ago
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆37Updated last year
- [TIP] APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Recognition☆12Updated 2 years ago
- ☆53Updated last year
- X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition (CVPR2024)☆28Updated last year
- ☆37Updated 10 months ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆227Updated 11 months ago
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆32Updated last year
- Implementation of the paper: ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification☆13Updated 9 months ago
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆145Updated 10 months ago
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆69Updated 6 months ago
- [NeurIPS 2024] A Unified Framework for 3D Scene Understanding☆141Updated 6 months ago
- The Experiment Code for Swin3D☆35Updated last year
- [WACV 2025] Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud☆24Updated 3 months ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated 11 months ago
- PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation [CVPR 2024]☆35Updated this week