Statistical Uncertainty Learning for Robust Visual-Inertial State Estimation

Geometry processing and machine learning with functional maps.

Pytorch framework for doing deep learning on point clouds.

This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"

"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"

We write your reusable computer vision tools. 💜

Pure Numpy Implementation of the Coherent Point Drift Algorithm

Official implementation of Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia, Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)

3D Reconstruction in Plant Phenotyping