Jinec98 / MAE3DLinks
[IEEE TMM] The official implementation of MAE3D
☆11Updated last year
Alternatives and similar repositories for MAE3D
Users that are interested in MAE3D are comparing it to the libraries listed below
Sorting:
- MATE: Masked Autoencoders are Online 3D Test-Time Learners (ICCV 2023)☆21Updated last year
- Self-supervised adversarial masking for point clouds☆11Updated 2 years ago
- Implementation of "Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning" WACV 2023.☆25Updated last year
- Source code for selective scaling in the paper of << On Calibrating Semantic Segmentation Models - Analyses and An Algorithm>> (CVPR 2023…☆15Updated 2 years ago
- official code for "Semantic Scene Completion with Cleaner Self"☆10Updated last year
- ☆9Updated 2 years ago
- Implementation of "Transductive Zero-Shot Learning for 3D Point Cloud Classification"☆33Updated 2 years ago
- Open Set Semantic Segmentation☆10Updated 4 years ago
- Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)☆21Updated 2 years ago
- [NeurIPS 2023] Official Implementation of "PaintSeg: Painting Pixels for Training-free Segmentation"☆14Updated last year
- [ECCV 2022] "Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction" by Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tian…☆19Updated last year
- This is the code related to "Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis" (ICCV 2023)☆16Updated last year
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆53Updated last year
- Official PyTorch Implementation of the Paper "Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models"☆15Updated 2 months ago
- 🔥Benchmarking Unsupervised Obj Seg (NeurIPS 2022 & IJCV 2024)☆36Updated 8 months ago
- Multi-Anchor Active Domain Adaptation for Semantic Segmentation (ICCV 2021 Oral)☆46Updated 3 years ago
- ☆12Updated last year
- A curated list of awesome 3D domain adaptation resources☆25Updated 3 years ago
- Source code for "To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation", ICCV 2023☆48Updated last year
- Official code for "Self-supervised learning with rotation-invariant kernels"☆11Updated 2 years ago
- Code for ACM MM 2023 paper - Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning☆13Updated last year
- [NeurIPS 2023] Official Implementation of A Generic Active Learning Baseline for LiDAR Semantic Segmentation☆32Updated last year
- All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)☆29Updated last year
- [CVPR2025] BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis☆20Updated last month
- code of [CVPR22] CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance☆17Updated 3 years ago
- ☆11Updated 2 years ago
- [Preprint 2022] “Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?” by Yi Wang, Zhiwen Fan, Tianlong Chen, Hehe Fan, Zh…☆62Updated 2 years ago
- ☆13Updated last year
- Code for "Collect-and-Distribute Transformer for 3D Point Cloud Analysis"☆15Updated 2 years ago
- Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding☆19Updated 2 years ago