zhang-tao-whu / PCM
Point Could Mamba: Point Cloud Learning via State Space Model
☆66Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for PCM
- Point Mamba☆105Updated 6 months ago
- [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model☆72Updated last month
- PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis☆45Updated 4 months ago
- Point Cloud Mamba: Point Cloud Learning via State Space Model☆76Updated 5 months ago
- [AAAI 2024] SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection☆35Updated 6 months ago
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆86Updated 6 months ago
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆46Updated 5 months ago
- [CVPR 2024] This repo contains the code for our paper: Rethinking Few-shot 3D Point Cloud Semantic Segmentation☆65Updated last month
- [NIPS'24] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection☆88Updated last month
- ☆49Updated last week
- [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training☆103Updated 9 months ago
- ☆43Updated 11 months ago
- ☆42Updated 2 months ago
- [NeurIPS 2024] A Unified Framework for 3D Scene Understanding☆98Updated this week
- ☆52Updated 11 months ago
- Official code of "Segment any 3D Object with Language"☆37Updated 6 months ago
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆59Updated last year
- [CVPR 2024] DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement☆42Updated last month
- ☆23Updated 8 months ago
- PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation [CVPR 2024]☆26Updated last month
- (CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds☆63Updated last year
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆40Updated 3 months ago
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆64Updated 6 months ago
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆29Updated 6 months ago
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆120Updated last year
- This is a PyTorch implementation of GPSFormer proposed by our paper "GPSFormer: A Global Perception and Local Structure Fitting-based Tra…☆13Updated 3 months ago
- Code release for our NeurIPS 2023 paper "Uni3DETR: Unified 3D Detection Transformer", our ECCV 2024 paper "OV-Uni3DETR: Towards Unified O…☆81Updated 3 months ago
- [NeurIPS 2024 Spotlight] Context and Geometry Aware Voxel Transformer for Semantic Scene Completion☆43Updated last week
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆99Updated 4 months ago
- ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention (ECCV 2024)☆74Updated 3 months ago