Official WACV 2025 code for Point-GN: A non-parametric, training-free method for 3D point cloud classification using Gaussian Positional Encoding (GPE). No training, no parameters, state-of-the-art accuracy.
☆15Jul 22, 2025Updated 9 months ago
Alternatives and similar repositories for Point_GN
Users that are interested in Point_GN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆44Nov 1, 2024Updated last year
- An application similar to Instagram using Flutter☆12Jun 3, 2024Updated last year
- Large-scale lane mapping using MLS point clouds.☆37Jan 9, 2026Updated 3 months ago
- [ECCV 2024] Offical implementation of ECCV'24 paper DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction☆32Oct 22, 2024Updated last year
- ☆11Nov 21, 2022Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- [ICCV 2025] Official PyTorch Code for "Describe, Adapt and Combine: Empowering CLIP Encoders for Open-set 3D Object Retrieval"☆17Aug 23, 2025Updated 8 months ago
- [TITS2022] 3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification☆33Oct 10, 2022Updated 3 years ago
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆118Apr 20, 2024Updated 2 years ago
- PyTorch implementation of Pointwise Convolutional Neural Networks in CVPR 2018.☆12Aug 4, 2019Updated 6 years ago
- [ICCV25] Official implementation of the paper HoliTracer.☆45Apr 7, 2026Updated last month
- [CVPR 2025] BWFormer: Building Wireframe Reconstruction from airborne LiDAR point clouds with Transformer☆62Aug 19, 2025Updated 8 months ago
- [NeurIPS 2024 Spotlight (Top 2.5%🏆)] PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders