zhang-tao-whu / PCMLinks
Point Could Mamba: Point Cloud Learning via State Space Model
☆70Updated 7 months ago
Alternatives and similar repositories for PCM
Users that are interested in PCM are comparing it to the libraries listed below
Sorting:
- Point Mamba☆125Updated last year
- PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis☆66Updated 2 months ago
- [CVPR 2024] This repo contains the code for our paper: Rethinking Few-shot 3D Point Cloud Semantic Segmentation☆100Updated 3 months ago
- [AAAI 2024] SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection☆41Updated last year
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆54Updated last year
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆68Updated last year
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆107Updated last year
- [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training☆120Updated last year
- X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition (CVPR2024)☆30Updated last year
- ☆66Updated last week
- ☆52Updated last year
- Point Cloud Mamba: Point Cloud Learning via State Space Model☆118Updated last year
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆135Updated 7 months ago
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆69Updated 8 months ago
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆31Updated last year
- [ICLR 2025 Spotlight] Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation☆48Updated 3 months ago
- This is the official implementation of "LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels" (Accepted at C…☆54Updated 2 months ago
- ☆51Updated last year
- The official implementation of "PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning" (CVPR 2025)☆22Updated 2 months ago
- [ICLR 2025] Official code of "Segment any 3D Object with Language"☆50Updated last month
- [NeurIPS 2024] Official implementation of the paper "Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Clou…☆16Updated 3 months ago
- [CVPR 2024] GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding☆45Updated last year
- This is a PyTorch implementation of GPSFormer proposed by our paper "GPSFormer: A Global Perception and Local Structure Fitting-based Tra…☆24Updated last year
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆38Updated last year
- (CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds☆68Updated 2 years ago
- ☆26Updated last year
- [NeurIPS24 Spotlight] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection☆138Updated 10 months ago
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆43Updated last year
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆11Updated last year
- [CVPR 2023] 3D Representation Learning via Foreground Aware Feature Contrast☆42Updated last year