Alternatives and similar repositories for ReCon

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

• RunpeiDong / ACT
  [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
  ☆102Updated last year
• CGuangyan-BIT / PointGPT
  [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds
  ☆227Updated last year
• wangzy22 / P2P
  [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
  ☆130Updated last year
• fanglaosi / Point-In-Context
  [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding
  ☆69Updated 7 months ago
• qizekun / PointVisualizaiton
  A point cloud visualization repo
  ☆81Updated last month
• dvlab-research / Mask-Attention-Free-Transformer
  Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"
  ☆67Updated last year
• XiaoshuiHuang / EPCL
  [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
  ☆31Updated last year
• tyhuang0428 / CLIP2Point
  [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
  ☆118Updated last year
• ZrrSkywalker / I2P-MAE
  [CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
  ☆223Updated last year
• wangzy22 / TAP
  [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
  ☆42Updated 11 months ago
• yangyangyang127 / PointCLIP_V2
  [ICCV 2023] PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
  ☆266Updated last year
• mlvlab / SPoTr
  Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).
  ☆109Updated 3 months ago
• TangYuan96 / MiniGPT-3D
  [MM 2024] [Need only a 3090] MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors
  ☆105Updated 10 months ago
• ZhanHeshen / PointCMT
  [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis
  ☆74Updated 2 years ago
• antonioo-c / PiMAE
  [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”
  ☆134Updated 7 months ago
• guochengqian / Pix4Point
  Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`
  ☆47Updated last year
• RozDavid / LanguageGroundedSemseg
  Implementation for ECCV 2022 paper Language-Grounded Indoor 3D Semantic Segmentation in the Wild
  ☆115Updated 2 years ago
• ZrrSkywalker / Point-M2AE
  [NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
  ☆212Updated 2 years ago
• deeptibhegde / CLIP-goes-3D
  Official code release of "CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition"
  ☆235Updated 2 years ago
• xhanxu / Mamba3D
  [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
  ☆129Updated 4 months ago
• OpenGVLab / PonderV2
  [T-PAMI 2025] PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm
  ☆355Updated 3 months ago
• Yukichiii / Swin3D_Task
  The Experiment Code for Swin3D
  ☆36Updated last year
• linhaojia13 / PointMetaBase
  This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"
  ☆101Updated 2 years ago
• ajhamdi / vointcloud
  Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)
  ☆21Updated 2 years ago
• theodorakontogianni / InterObject3D
  ☆42Updated last year
• SimingYan / IAE
  [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"
  ☆102Updated 3 years ago
• xiaoyao3302 / PoinTramba
  PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis
  ☆65Updated 2 months ago
• kabouzeid / point2vec
  [GCPR 2023 | CVPR 2023 Workshop] Self-Supervised Representation Learning on Point Clouds
  ☆92Updated last year
• zyh16143998882 / AAAI24-PointFEMAE
  The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).
  ☆37Updated last year
• W1zheng / DKNet
  Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".
  ☆55Updated 2 years ago