fanglaosi / Point-In-ContextLinks
[NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding
☆69Updated 7 months ago
Alternatives and similar repositories for Point-In-Context
Users that are interested in Point-In-Context are comparing it to the libraries listed below
Sorting:
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆53Updated last year
- [3DV 2025] Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model☆92Updated last month
- Open-Vocabulary SAM3D: Understand Any 3D Scene☆31Updated last month
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated last year
- [AAAI 2024] The official implementation of the paper "3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Refer…☆42Updated last year
- The offical implemention of JM3D.☆30Updated 2 months ago
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆145Updated 11 months ago
- [ECCV 2024] The official PyTorch implementation of the "Part2Object: Hierarchical Unsupervised 3D Instance Segmentation".☆22Updated 10 months ago
- [CVPR 2024] The official implementation of paper "Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training"☆36Updated last year
- [ICLR 2025] Official code of "Segment any 3D Object with Language"☆49Updated 3 weeks ago
- [NeurIPS 2023] Weakly Supervised 3D Open-vocabulary Segmentation☆120Updated last year
- [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training☆118Updated last year
- Point Could Mamba: Point Cloud Learning via State Space Model☆70Updated 7 months ago
- The official repository for paper "MLLMs Need 3D-Aware Representation Supervision for Scene Understanding"☆67Updated last month
- ☆20Updated 3 months ago
- ☆51Updated last year
- This is the code related to "Context-aware Alignment and Mutual Masking for 3D-Language Pre-training" (CVPR 2023).☆29Updated 2 years ago
- [CVPR 2024] GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding☆45Updated last year
- This is the official implement for Human-centric Scene Understanding in 3D Large-scale Scenarios.☆32Updated last year
- [AAAI 2024] SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection☆41Updated last year
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆31Updated last year
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆38Updated last year
- Paper: UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting☆17Updated last month
- ☆88Updated 6 months ago
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆47Updated last year
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 2 years ago
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆67Updated last year
- [CVPR2023]Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning☆18Updated 2 years ago
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆130Updated last year
- [WACV 2025 Oral] Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding☆57Updated 4 months ago