VVRPanda / ExpPoint-MAE
☆11Updated 10 months ago
Alternatives and similar repositories for ExpPoint-MAE:
Users that are interested in ExpPoint-MAE are comparing it to the libraries listed below
- [NeurIPS 2024] Official implementation of the paper "Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Clou…☆12Updated 3 months ago
- Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)☆21Updated last year
- PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation [CVPR 2024]☆33Updated 6 months ago
- The source code of PRA-Net.☆25Updated 3 years ago
- ☆25Updated last year
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆47Updated 8 months ago
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 2 years ago
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆29Updated 11 months ago
- Official implementation of the CVPR 2023 paper "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"☆61Updated last year
- This is a PyTorch implementation of GPSFormer proposed by our paper "GPSFormer: A Global Perception and Local Structure Fitting-based Tra…☆21Updated 7 months ago
- This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).☆36Updated last year
- [ICCV-23] Official implementation of SeedAL for seeding active learning for 3D semantic segmentation☆27Updated last year
- PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation☆13Updated last year
- Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding☆19Updated last year
- ☆24Updated last year
- Code for "Collect-and-Distribute Transformer for 3D Point Cloud Analysis"☆15Updated last year
- [TMM 2023] Self-Supervised Intra-Modal and Cross-Modal Contrastive Learning for Point Cloud Understanding☆9Updated last year
- All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)☆28Updated last year
- [TPAMI] Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation☆30Updated 2 years ago
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆11Updated last year
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆40Updated 7 months ago
- Code for **Spatiotemporal Self-supervised Learning for Point Clouds in the Wild** (STSSL) CVPR2023☆46Updated last year
- Public repository for the 3DV 2024 spotlight paper "SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation".☆39Updated 4 months ago
- Official repo for: Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation (Neurocomputin…☆26Updated 8 months ago
- ☆27Updated 10 months ago
- Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)☆26Updated 2 years ago
- Official Pytorch implementation of the ECCV 2022 paper "GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segme…☆46Updated 2 years ago
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆52Updated 9 months ago
- This is the code related to "Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis" (ICCV 2023)☆15Updated last year