qizekun / ReConLinks
[ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
☆147Updated last year
Alternatives and similar repositories for ReCon
Users that are interested in ReCon are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated last year
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆131Updated 2 years ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆230Updated last year
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆71Updated 11 months ago
- Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)☆21Updated 2 years ago
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆33Updated last year
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆72Updated 2 years ago
- A point cloud visualization repo☆89Updated 2 weeks ago
- Official code release of "CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition"☆239Updated 2 years ago
- [MM 2024] [Need only a 3090] MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors☆117Updated last year
- [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training☆125Updated last year
- [ICCV 2023] PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning☆273Updated 2 months ago
- [CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders☆224Updated 2 years ago
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆139Updated 10 months ago
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆111Updated 7 months ago
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆44Updated last year
- Code for the paper: "ODIN: A Single Model for 2D and 3D Segmentation" (CVPR 2024)☆166Updated 4 months ago
- ☆21Updated last year
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆55Updated last year
- ☆19Updated last year
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Updated 2 years ago
- The Experiment Code for Swin3D☆36Updated last year
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆47Updated last year
- [NeurIPS 2024 Spotlight] PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders☆51Updated last month
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆37Updated last year
- [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model☆134Updated last month
- Implementation for ECCV 2022 paper Language-Grounded Indoor 3D Semantic Segmentation in the Wild☆118Updated 2 years ago
- ☆43Updated last year
- ☆41Updated 11 months ago
- PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis☆68Updated 5 months ago