lmomoy / MAENetLinks
Official implementation of the paper "MAENet: Boost Image-guided Point Cloud Completion More Accurate and Even" (Information Fusion 2025)
☆14Updated 6 months ago
Alternatives and similar repositories for MAENet
Users that are interested in MAENet are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024 Spotlight] PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders☆50Updated 3 months ago
- [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training☆127Updated last year
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆57Updated last year
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆38Updated last year
- This is the code related to "Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation" (CVPR 2023)☆37Updated 2 years ago
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆72Updated last year
- PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis☆70Updated 6 months ago
- [3DV 2025] Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model☆109Updated 6 months ago
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆140Updated 11 months ago
- Official repository of **CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation, ECCV'24**☆12Updated 5 months ago
- [NeurIPS 2025] 3DRS: MLLMs Need 3D-Aware Representation Supervision for Scene Understanding☆128Updated this week
- MATE: Masked Autoencoders are Online 3D Test-Time Learners (ICCV 2023)☆21Updated 2 years ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated last year
- Point Could Mamba: Point Cloud Learning via State Space Model☆74Updated 11 months ago
- [AAAI 2024] The official implementation of the paper "3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Refer…☆43Updated last year
- [CVPR 2025] Official implementation of the paper "Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Poin…☆14Updated 8 months ago
- The offical implemention of JM3D.☆30Updated 3 months ago
- [ICLR 2025 Spotlight] Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation☆63Updated 7 months ago
- [CVPR2023]Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning☆17Updated 2 years ago
- ☆51Updated 2 years ago
- Official implementation of paper "GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model", ICML 2025☆14Updated last month
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆34Updated last year
- [CVPR 2025 Highlight🔥] Official code repository for "Inst3D-LMM: Instance-Aware 3D Scene Understanding with Multi-modal Instruction Tuni…☆122Updated 3 weeks ago
- [ICCV2025] All in One: Visual-Description-Guided Unified Point Cloud Segmentation☆25Updated 4 months ago
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆12Updated 2 years ago
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆116Updated last year
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆131Updated 2 years ago
- ☆19Updated last year
- ☆63Updated 2 years ago
- X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition (CVPR2024)☆35Updated last year