(AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
☆57May 19, 2024Updated last year
Alternatives and similar repositories for Point-PEFT
Users that are interested in Point-PEFT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ECCV2024] Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding☆125Jul 2, 2024Updated last year
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆103Jul 1, 2024Updated last year
- (ICCV2023) Official implementation of 'ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance'…☆59Apr 18, 2024Updated last year
- ☆20Sep 27, 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
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A point cloud visualization repo☆97Oct 15, 2025Updated 5 months ago
- HRHD-HK: A Benchmark Dataset of High-Rise and High-Density Urban Scenes for 3D Semantic Segmentation of Photogrammetric Point Clouds☆10Dec 11, 2023Updated 2 years ago
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆35Apr 10, 2024Updated last year
- Point Could Mamba: Point Cloud Learning via State Space Model☆75Dec 13, 2024Updated last year
- [CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis☆182Oct 11, 2024Updated last year
- [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"☆103Jul 22, 2025Updated 8 months ago
- The code for the paper "Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models" (ICCV'23).☆111Dec 19, 2023Updated 2 years ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆242Jul 1, 2024Updated last year
- Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision☆11Jul 22, 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.
- The code for the paper "LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling" (NeurIPS'24).☆13Dec 25, 2024Updated last year
- [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds☆95Aug 28, 2022Updated 3 years ago
- ☆44Nov 1, 2024Updated last year
- ☆12May 19, 2025Updated 10 months ago
- ☆11Nov 21, 2022Updated 3 years ago
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆620Mar 31, 2025Updated 11 months ago
- [ICCV 2023] PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning☆287Aug 12, 2025Updated 7 months ago
- Official WACV 2025 code for Point-GN: A non-parametric, training-free method for 3D point cloud classification using Gaussian Positional …☆15Jul 22, 2025Updated 8 months ago
- Self-supervised adversarial masking for point clouds☆11Jul 12, 2023Updated 2 years ago
- 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.
- Implementation of the paper: VG4D: Vision-Language Model Goes 4D Video Recognition（ICRA 2024）☆15Apr 23, 2024Updated last year
- [NeurIPS 2024 Spotlight (Top 2.5%🏆)] PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders☆52Sep 1, 2025Updated 6 months ago
- [CVPR 2025] Official implementation of the paper "Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Poin…☆16Mar 13, 2026Updated last week
- [ICRA 2024] Official Implementation of the paper "Parameter-efficient Prompt Learning for 3D Point Cloud Understanding"☆30Mar 13, 2026Updated last week
- [WACV 2025-Oral Presentation] Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging☆12Mar 31, 2025Updated 11 months ago
- ☆73Updated this week
- ☆14Jun 6, 2023Updated 2 years ago
- ☆35Feb 15, 2026Updated last month
- [AAAI 2023] Zero-Shot Enhancement of CLIP with Parameter-free Attention☆93Apr 29, 2023Updated 2 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- ☆29Oct 4, 2024Updated last year
- PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis☆71May 17, 2025Updated 10 months ago
- HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation☆15Sep 13, 2024Updated last year
- Using Kolmogorov Arnold Networks (KANs) instead of MLPs in PointNet for Classification and Segmentation of 3D Point Sets☆16Dec 7, 2025Updated 3 months ago
- [CVPR 2025] MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning☆18Sep 20, 2025Updated 6 months ago
- All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)☆31Nov 3, 2023Updated 2 years ago
- Code of ICCV23 paper: Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection☆29Oct 16, 2023Updated 2 years ago