fanglaosi / Point-In-ContextLinks
[NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding
☆70Updated 9 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☆54Updated last year
- [3DV 2025] Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model☆95Updated 3 months ago
- [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training☆120Updated last year
- ☆21Updated 4 months ago
- Open-Vocabulary SAM3D: Understand Any 3D Scene☆31Updated 2 months ago
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆147Updated last year
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated last year
- [NeurIPS 2023] Weakly Supervised 3D Open-vocabulary Segmentation☆120Updated last year
- [ICLR 2025] Official code of "Segment any 3D Object with Language"☆50Updated 2 months ago
- The offical implemention of JM3D.☆30Updated last week
- [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
- [CVPR 2024] The official implementation of paper "Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training"☆36Updated last year
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆33Updated last year
- ☆51Updated last year
- [ECCV2024] Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding☆123Updated last year
- The official repository for paper "MLLMs Need 3D-Aware Representation Supervision for Scene Understanding"☆88Updated 2 weeks ago
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆38Updated last year
- Official code of DMA: Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding, ECCV 2024☆29Updated last year
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 2 years ago
- ☆21Updated last year
- Point Could Mamba: Point Cloud Learning via State Space Model☆70Updated 8 months ago
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆129Updated 2 years ago
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆47Updated last year
- ☆89Updated 8 months ago
- [CVPR 2024] GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding☆45Updated last year
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆69Updated last year
- Official implementation of the paper "Unifying 3D Vision-Language Understanding via Promptable Queries"☆78Updated last year
- [NeurIPS 2024] Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding☆95Updated 6 months ago
- Paper: UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting☆19Updated 2 months ago
- This is the code related to "Context-aware Alignment and Mutual Masking for 3D-Language Pre-training" (CVPR 2023).☆29Updated 2 years ago