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
• fanglaosi / Point-In-Context
  [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding
  ☆72Updated 11 months ago
• CGuangyan-BIT / PointGPT
  [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds
  ☆233Updated last year
• wangzy22 / P2P
  [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
  ☆131Updated 2 years ago
• ajhamdi / vointcloud
  Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)
  ☆21Updated 2 years ago
• yangyangyang127 / PointCLIP_V2
  [ICCV 2023] PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
  ☆275Updated 3 months ago
• XiaoshuiHuang / EPCL
  [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
  ☆33Updated last year
• tyhuang0428 / CLIP2Point
  [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
  ☆125Updated last year
• qizekun / PointVisualizaiton
  A point cloud visualization repo
  ☆90Updated last month
• dvlab-research / Mask-Attention-Free-Transformer
  Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"
  ☆72Updated 2 years ago
• deeptibhegde / CLIP-goes-3D
  Official code release of "CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition"
  ☆239Updated 2 years ago
• mlvlab / SPoTr
  Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).
  ☆114Updated 7 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
  ☆120Updated last year
• antonioo-c / PiMAE
  [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”
  ☆140Updated 11 months ago
• ZrrSkywalker / I2P-MAE
  [CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
  ☆225Updated 2 years ago
• fukexue / POS-BERT
  ☆19Updated last year
• ZhanHeshen / PointCMT
  [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis
  ☆73Updated 2 years ago
• wangzy22 / TAP
  [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
  ☆44Updated last year
• xhanxu / Mamba3D
  [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
  ☆140Updated 2 months ago
• guochengqian / Pix4Point
  Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`
  ☆47Updated last year
• Ivan-Tang-3D / Point-PEFT
  (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
  ☆56Updated last year
• Yukichiii / Swin3D_Task
  The Experiment Code for Swin3D
  ☆36Updated last year
• aHapBean / PCP-MAE
  [NeurIPS 2024 Spotlight] PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
  ☆50Updated 2 months ago
• dongyh20 / C2P
  [CVPR2023]Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning
  ☆17Updated 2 years ago
• zyh16143998882 / AAAI24-PointFEMAE
  The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).
  ☆37Updated last year
• xiaoyao3302 / PoinTramba
  PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis
  ☆70Updated 6 months ago
• RozDavid / LanguageGroundedSemseg
  Implementation for ECCV 2022 paper Language-Grounded Indoor 3D Semantic Segmentation in the Wild
  ☆119Updated 3 years ago
• theodorakontogianni / InterObject3D
  ☆44Updated last year
• ZrrSkywalker / Point-M2AE
  [NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
  ☆224Updated 2 years ago
• WisconsinAIVision / MaskPoint
  [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds
  ☆95Updated 3 years ago