MCG-NJU / APP-Net
[TIP] APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Recognition
☆12Updated last year
Alternatives and similar repositories for APP-Net:
Users that are interested in APP-Net are comparing it to the libraries listed below
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆36Updated last year
- ☆19Updated 5 months ago
- PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis☆56Updated 9 months ago
- Point Could Mamba: Point Cloud Learning via State Space Model☆69Updated 3 months ago
- [ICLR 2025 Spotlight] Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation☆27Updated last week
- ☆50Updated last year
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆52Updated 10 months ago
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆94Updated 10 months ago
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆131Updated 3 months ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated 8 months ago
- [AAAI 2024] The official implementation of the paper "3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Refer…☆39Updated last year
- Code release for our NeurIPS 2023 paper "Uni3DETR: Unified 3D Detection Transformer", our ECCV 2024 paper "OV-Uni3DETR: Towards Unified O…☆95Updated 7 months ago
- This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).☆40Updated 9 months ago
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆68Updated 3 months ago
- [CVPR 2024] This repo contains the code for our paper: Rethinking Few-shot 3D Point Cloud Semantic Segmentation☆80Updated last week
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Updated 2 years ago
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆140Updated 7 months ago
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆29Updated 11 months ago
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆63Updated last year
- [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model☆101Updated 2 weeks ago
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆40Updated 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
- Point Cloud Mamba: Point Cloud Learning via State Space Model☆98Updated 9 months ago
- ☆32Updated 8 months ago
- [NeurIPS 2024] A Unified Framework for 3D Scene Understanding☆133Updated 3 months ago
- [AAAI 2024] Mono3DVG: 3D Visual Grounding in Monocular Images, AAAI, 2024☆55Updated 11 months ago
- (CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds☆65Updated 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
- ☆58Updated 2 months ago
- ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention (ECCV 2024)☆75Updated 7 months ago