[NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds
☆244Jul 1, 2024Updated last year
Alternatives and similar repositories for PointGPT
Users that are interested in PointGPT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆620Mar 31, 2025Updated 11 months ago
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆154Jul 21, 2024Updated last year
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆674Mar 22, 2025Updated last year
- A point cloud visualization repo☆97Oct 15, 2025Updated 5 months ago
- [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model☆157Sep 20, 2025Updated 6 months ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- The code for the paper "Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models" (ICCV'23).☆111Dec 19, 2023Updated 2 years ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆103Jul 1, 2024Updated last year
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆37Dec 26, 2023Updated 2 years ago
- [CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders☆230Aug 10, 2023Updated 2 years ago
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆114Mar 27, 2025Updated 11 months ago
- [NeurIPS 2024 Spotlight (Top 2.5%🏆)] PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders☆52Sep 1, 2025Updated 6 months ago
- Official implementation of the paper "Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space"☆37Jun 1, 2023Updated 2 years ago
- [NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training☆225May 4, 2023Updated 2 years ago
- [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"☆103Jul 22, 2025Updated 8 months ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆1,010Dec 1, 2023Updated 2 years ago
- [GCPR 2023 | CVPR 2023 Workshop] Self-Supervised Representation Learning on Point Clouds☆100Jan 26, 2026Updated last month
- Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia, Concerto (NeurIPS…☆2,893Mar 4, 2026Updated 3 weeks ago
- [ECCV 2024] ShapeLLM: Universal 3D Object Understanding for Embodied Interaction☆230Oct 8, 2024Updated last year
- MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation☆25Jul 8, 2023Updated 2 years ago
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆44Jul 30, 2024Updated last year
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆432Jun 4, 2023Updated 2 years ago
- [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds☆95Aug 28, 2022Updated 3 years ago
- [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis☆539Apr 9, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- [IEEE TPAMI] Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning☆389Jan 15, 2026Updated 2 months ago
- ☆592Jan 21, 2026Updated 2 months ago
- [TMM 2023] Self-Supervised Intra-Modal and Cross-Modal Contrastive Learning for Point Cloud Understanding☆11Jul 9, 2023Updated 2 years ago
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆57May 19, 2024Updated last year
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [ASSANet](https://arxiv.or…☆410Aug 4, 2024Updated last year
- [CVPR'24 Highlight] GPT4Point: A Unified Framework for Point-Language Understanding and Generation.☆441Apr 27, 2024Updated last year
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆111Oct 25, 2023Updated 2 years ago
- ☆20Sep 27, 2024Updated last year
- [NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models☆637Dec 16, 2023Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- [CVPR 2025] MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning☆18Sep 20, 2025Updated 6 months ago
- [ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI☆653Jan 12, 2026Updated 2 months ago
- [NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis☆524Mar 19, 2025Updated last year
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆589Feb 2, 2025Updated last year
- [ECCV 2024 Best Paper Candidate & TPAMI 2025] PointLLM: Empowering Large Language Models to Understand Point Clouds☆984Mar 17, 2026Updated last week
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆48Jun 26, 2024Updated last year
- A shift-window based transformer for 3D sparse tasks☆287Jun 25, 2023Updated 2 years ago