VVRPanda / ExpPoint-MAELinks
☆12Updated last year
Alternatives and similar repositories for ExpPoint-MAE
Users that are interested in ExpPoint-MAE are comparing it to the libraries listed below
Sorting:
- ☆31Updated 2 years ago
- Point Could Mamba: Point Cloud Learning via State Space Model☆75Updated last year
- Point Mamba☆132Updated last year
- Code for "Collect-and-Distribute Transformer for 3D Point Cloud Analysis"☆15Updated 2 years ago
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆48Updated last year
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆35Updated last year
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆57Updated last year
- The source code of PRA-Net.☆27Updated 4 years ago
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆44Updated last year
- PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation☆14Updated 2 years ago
- All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)☆31Updated 2 years ago
- Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)☆22Updated 2 years ago
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆72Updated 2 years ago
- PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation [CVPR 2024]☆41Updated 4 months ago
- This is a PyTorch implementation of GPSFormer proposed by our paper "GPSFormer: A Global Perception and Local Structure Fitting-based Tra…☆27Updated last year
- Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter (ECCV 2022)☆36Updated last year
- ☆27Updated last year
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆12Updated 2 years ago
- This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).☆43Updated last year
- ☆43Updated last year
- ☆27Updated last year
- Code for **Spatiotemporal Self-supervised Learning for Point Clouds in the Wild** (STSSL) CVPR2023☆49Updated last year
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆117Updated last year
- X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition (CVPR2024)☆35Updated last year
- HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation☆13Updated last year
- (CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds☆68Updated 2 years ago
- [CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples☆32Updated 3 years ago
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Updated 2 years ago
- Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".☆56Updated 2 years ago
- [ICCV2025] All in One: Visual-Description-Guided Unified Point Cloud Segmentation☆27Updated 5 months ago