Alternatives and similar repositories for C2P

Users that are interested in C2P are comparing it to the libraries listed below

• ardianumam / PartDistill
  ☆21Updated last year
• wangzy22 / TAP
  [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
  ☆44Updated last year
• qizekun / ReCon
  [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
  ☆147Updated last year
• qizekun / PointVisualizaiton
  A point cloud visualization repo
  ☆86Updated 2 months ago
• RunpeiDong / ACT
  [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
  ☆102Updated last year
• tyhuang0428 / CLIP2Point
  [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
  ☆120Updated last year
• KuanchihHuang / Reason3D
  [3DV 2025] Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model
  ☆95Updated 3 months ago
• XiaoshuiHuang / EPCL
  [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
  ☆33Updated last year
• zhang-tao-whu / PCM
  Point Could Mamba: Point Cloud Learning via State Space Model
  ☆70Updated 8 months ago
• fanglaosi / Point-In-Context
  [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding
  ☆70Updated 9 months ago
• SooLab / Part2Object
  [ECCV 2024] The official PyTorch implementation of the "Part2Object: Hierarchical Unsupervised 3D Instance Segmentation".
  ☆22Updated 11 months ago
• 3dlg-hcvc / M3DRef-CLIP
  [ICCV 2023] Multi3DRefer: Grounding Text Description to Multiple 3D Objects
  ☆88Updated last year
• xiaoyao3302 / PoinTramba
  PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis
  ☆66Updated 3 months ago
• CVRP-SOLE / SOLE
  [ICLR 2025] Official code of "Segment any 3D Object with Language"
  ☆50Updated 2 months ago
• zhengxiaozx / PointDif
  ☆38Updated 10 months ago
• Ivan-Tang-3D / Point-PEFT
  (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
  ☆54Updated last year
• lyhdet / OV-3DET
  ☆91Updated last year
• heshuting555 / SegPoint
  ☆39Updated last year
• PQ3D / PQ3D
  Official implementation of the paper "Unifying 3D Vision-Language Understanding via Promptable Queries"
  ☆78Updated last year
• dvlab-research / Mask-Attention-Free-Transformer
  Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"
  ☆69Updated last year
• antonioo-c / PiMAE
  [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”
  ☆135Updated 8 months ago
• ajhamdi / vointcloud
  Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)
  ☆21Updated 2 years ago
• zhenyuw16 / Uni3DETR
  Code release for our NeurIPS 2023 paper "Uni3DETR: Unified 3D Detection Transformer", our ECCV 2024 paper "OV-Uni3DETR: Towards Unified O…
  ☆106Updated last year
• HanchenTai / OV-SAM3D
  Open-Vocabulary SAM3D: Understand Any 3D Scene
  ☆31Updated 2 months ago
• sunshuofeng / X-3D
  X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition (CVPR2024)
  ☆30Updated last year
• TangYuan96 / MiniGPT-3D
  [MM 2024] [Need only a 3090] MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors
  ☆113Updated 11 months ago
• wangzy22 / P2P
  [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
  ☆129Updated 2 years ago
• fanglaosi / ModelNet-O_PointMLS
  Implementation of the paper: ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification
  ☆13Updated last year
• vgthengane / Awesome-FMs-in-3D
  A comprehensive surevy on Multimodal Models in 3D
  ☆65Updated last year
• aHapBean / PCP-MAE
  [NeurIPS 2024 Spotlight] PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
  ☆50Updated 5 months ago