hithqd / PointRWKVLinks
☆68Updated last month
Alternatives and similar repositories for PointRWKV
Users that are interested in PointRWKV are comparing it to the libraries listed below
Sorting:
- Point Could Mamba: Point Cloud Learning via State Space Model☆71Updated 9 months ago
- PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis☆67Updated 4 months ago
- Point Mamba☆125Updated last year
- Point Cloud Mamba: Point Cloud Learning via State Space Model☆124Updated last year
- [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model☆132Updated 6 months ago
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆106Updated last year
- [NeurIPS 2024 Spotlight] PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders☆51Updated 2 weeks ago
- [CVPR 2024] This repo contains the code for our paper: Rethinking Few-shot 3D Point Cloud Semantic Segmentation☆105Updated 4 months ago
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆70Updated 2 years ago
- [NeurIPS24 Spotlight] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection☆141Updated 11 months ago
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆38Updated last year
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆135Updated 9 months ago
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆54Updated last year
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆33Updated last year
- [ICLR 2025 Spotlight] Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation☆49Updated 4 months ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆228Updated last year
- X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition (CVPR2024)☆31Updated last year
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆12Updated last year
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆148Updated last year
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆104Updated 2 years ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated last year
- [AAAI2025] UniDet3D: Multi-dataset Indoor 3D Object Detection☆142Updated 3 months ago
- Official PyTorch implementation of DeLA☆57Updated 3 weeks ago
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆70Updated 9 months ago
- ☆19Updated 11 months ago
- [ECCV2024] Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding☆124Updated last year
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆109Updated 5 months ago
- [NeurIPS 2024] A Unified Framework for 3D Scene Understanding☆152Updated 2 months ago
- PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation [CVPR 2024]☆39Updated 2 weeks ago
- Code release for our NeurIPS 2023 paper "Uni3DETR: Unified 3D Detection Transformer", our ECCV 2024 paper "OV-Uni3DETR: Towards Unified O…☆107Updated last year