changshuowang / GPSFormer
This is a PyTorch implementation of GPSFormer proposed by our paper "GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding"(ECCV2024)
☆23Updated 9 months ago
Alternatives and similar repositories for GPSFormer:
Users that are interested in GPSFormer are comparing it to the libraries listed below
- PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation [CVPR 2024]☆34Updated 7 months ago
- ☆24Updated last year
- [TMM 2023] Self-Supervised Intra-Modal and Cross-Modal Contrastive Learning for Point Cloud Understanding☆9Updated last year
- ☆21Updated last year
- PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic Segmentation (WACV 2024)☆28Updated last year
- [An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models, 2025, CVPR]☆31Updated 3 weeks ago
- PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis☆60Updated 10 months ago
- X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition (CVPR2024)☆27Updated last year
- [ICRA 2023] Official implementation of the paper "ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Unde…☆24Updated last year
- [NeurIPS 2024] Official implementation of the paper "Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Clou…☆14Updated last week
- This is the code related to "Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis" (ICCV 2023)☆16Updated last year
- Point Could Mamba: Point Cloud Learning via State Space Model☆68Updated 4 months ago
- Code for ACM MM 2023 paper - Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning☆11Updated last year
- [CVPR 2024] This repo contains the code for our paper: Rethinking Few-shot 3D Point Cloud Semantic Segmentation☆92Updated 3 weeks ago
- Code for "Collect-and-Distribute Transformer for 3D Point Cloud Analysis"☆15Updated last year
- Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation (ICCV 2023)☆29Updated last year
- Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentation☆23Updated 2 years ago
- Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)☆26Updated 2 years ago
- Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter (ECCV 2022)☆31Updated 5 months ago
- Official implementation for "Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion" (ECCV 2024)☆48Updated 6 months ago
- Official implementation of the paper "Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space"☆37Updated last year
- COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)☆45Updated last year
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆42Updated 9 months ago
- ☆16Updated last year
- All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)☆29Updated last year
- [ACM MM 2024] GeoFormer: Learning Point Cloud Completion with Tri-Plane Integrated Transformer☆26Updated 5 months ago
- The official repository of the paper "InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion" published at NeurIPS 2023☆15Updated last year
- PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation☆13Updated last year
- This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).☆40Updated last year
- ☆12Updated last year