ZrrSkywalker / I2P-MAE
[CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
☆220Updated last year
Alternatives and similar repositories for I2P-MAE:
Users that are interested in I2P-MAE are comparing it to the libraries listed below
- [NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training☆208Updated last year
- [CVPR 2022] PointCLIP: Point Cloud Understanding by CLIP☆365Updated 2 years ago
- [ICCV 2023] PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning☆253Updated last year
- [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis☆506Updated 11 months ago
- [CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"☆330Updated 2 years ago
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆130Updated 3 months ago
- Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning☆145Updated 2 months ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated 8 months ago
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆143Updated 8 months ago
- Official Codebase of "DiffComplete: Diffusion-based Generative 3D Shape Completion"☆93Updated 7 months ago
- This is the official Pytorch implementation of our paper "PointNorm: Normalization is All You Need for Point Cloud Analysis""☆51Updated last year
- ☆169Updated last year
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆130Updated last year
- (CVPR 2023) PLA: Language-Driven Open-Vocabulary 3D Scene Understanding & (CVPR2024) RegionPLC: Regional Point-Language Contrastive Learn…☆277Updated 9 months ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆217Updated 8 months ago
- (ICCV2023) Official implementation of 'ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance'…☆56Updated 11 months ago
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆74Updated 2 years ago
- PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm☆337Updated 11 months ago
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆103Updated 3 months ago
- [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training☆115Updated last year
- The Most Faithful Implementation of Segment Anything (SAM) in 3D☆308Updated 6 months ago
- 【Code of CVPR 2022 paper】Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling☆230Updated 2 years ago
- [NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis☆411Updated last week
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆94Updated 11 months ago
- Code for CVPR 2021 oral paper "Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts"☆226Updated 2 years ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆93Updated 2 years ago
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆522Updated last year
- Align 3D Point Cloud with Multi-modalities for Large Language Models☆430Updated last year
- [CVPR 2023 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation☆290Updated 10 months ago
- Implementation for ECCV 2022 paper Language-Grounded Indoor 3D Semantic Segmentation in the Wild☆110Updated 2 years ago