Alternatives and similar repositories for PoinTramba

Users that are interested in PoinTramba are comparing it to the libraries listed below

• zhang-tao-whu / PCM
  Point Could Mamba: Point Cloud Learning via State Space Model
  ☆75Updated last year
• yangyangyang127 / Seg-NN
  [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
  ☆118Updated last year
• ZhaochongAn / Multimodality-3D-Few-Shot
  [ICLR 2025 Spotlight] Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
  ☆68Updated 8 months ago
• IRMVLab / Point-Mamba
  Point Mamba
  ☆132Updated last year
• xhanxu / Mamba3D
  [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
  ☆151Updated 4 months ago
• ZhaochongAn / COSeg
  [CVPR 2024] This repo contains the code for our paper: Rethinking Few-shot 3D Point Cloud Semantic Segmentation
  ☆122Updated 8 months ago
• SkyworkAI / PointCloudMamba
  Point Cloud Mamba: Point Cloud Learning via State Space Model
  ☆149Updated last year
• hithqd / PointRWKV
  ☆74Updated 6 months ago
• zhengxiaozx / PointDif
  ☆43Updated last year
• JIA-Lab-research / Mask-Attention-Free-Transformer
  Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"
  ☆72Updated 2 years ago
• antonioo-c / PiMAE
  [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”
  ☆140Updated last year
• zyrant / SPGroup3D
  [AAAI 2024] SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection
  ☆43Updated last year
• tyhuang0428 / CLIP2Point
  [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
  ☆127Updated 2 years ago
• changshuowang / GPSFormer
  This is a PyTorch implementation of GPSFormer proposed by our paper "GPSFormer: A Global Perception and Local Structure Fitting-based Tra…
  ☆27Updated last year
• qizekun / ReCon
  [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
  ☆153Updated last year
• fanglaosi / Point-In-Context
  [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding
  ☆73Updated last year
• JinfengX / PointCloudPDF
  PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation [CVPR 2024]
  ☆41Updated last week
• Ivan-Tang-3D / Point-PEFT
  (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
  ☆57Updated last year
• sunshuofeng / X-3D
  X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition (CVPR2024)
  ☆35Updated last year
• gfmei / GeoZe
  ☆27Updated last year
• leolyj / 3DPC-CISS
  This is the code related to "Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation" (CVPR 2023)
  ☆39Updated 2 years ago
• ZhaochongAn / GFS-VL
  [CVPR 2025] Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
  ☆53Updated 8 months ago
• yunshin / SphericalMask
  Official implementation of "Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation"
  ☆86Updated last year
• XiaoshuiHuang / EPCL
  [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
  ☆35Updated last year
• asalarpour / Point_GN
  Official WACV 2025 code for Point-GN: A non-parametric, training-free method for 3D point cloud classification using Gaussian Positional …
  ☆15Updated 6 months ago
• zyh16143998882 / AAAI24-PointFEMAE
  The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).
  ☆38Updated 2 years ago
• dk-liang / UniSeg3D
  [NeurIPS 2024] A Unified Framework for 3D Scene Understanding
  ☆170Updated 6 months ago
• luluho1208 / Diffusion-SS3D
  ☆51Updated 2 years ago
• mlvlab / SPoTr
  Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).
  ☆114Updated 10 months ago
• RunpeiDong / ACT
  [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
  ☆102Updated last year