qizekun / ReCon
[ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
☆143Updated 8 months ago
Alternatives and similar repositories for ReCon:
Users that are interested in ReCon are comparing it to the libraries listed below
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆101Updated 9 months ago
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆74Updated 2 years ago
- A point cloud visualization repo☆74Updated 2 weeks ago
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆67Updated 4 months ago
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆130Updated last year
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆40Updated 8 months ago
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆104Updated last week
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆63Updated last year
- [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model☆108Updated last month
- [ICCV 2023] PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning☆254Updated last year
- Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)☆21Updated last year
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆29Updated 11 months ago
- [GCPR 2023 | CVPR 2023 Workshop] Self-Supervised Representation Learning on Point Clouds☆88Updated last year
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆131Updated 3 months ago
- [CVPR2023]Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning☆18Updated 2 years ago
- Implementation for ECCV 2022 paper Language-Grounded Indoor 3D Semantic Segmentation in the Wild☆110Updated 2 years ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆217Updated 9 months ago
- PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis☆57Updated 9 months ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆93Updated 2 years ago
- [ECCV 2024] The official PyTorch implementation of the "Part2Object: Hierarchical Unsupervised 3D Instance Segmentation".☆21Updated 6 months ago
- The Experiment Code for Swin3D☆34Updated last year
- [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training☆114Updated last year
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆52Updated 10 months ago
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆94Updated 11 months ago
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆47Updated 9 months ago
- [MM 2024] [Need only a 3090] MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors☆88Updated 6 months ago
- Code for "Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes"☆53Updated last year
- Point Cloud Mamba: Point Cloud Learning via State Space Model☆97Updated 10 months ago
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆103Updated last year
- Point Could Mamba: Point Cloud Learning via State Space Model☆67Updated 3 months ago