Quantitative Structure Models of Single Trees from Laser Scanner Data

A fast and robust point cloud registration library

This is the repository for the 'Remote Sensing of Environment' article: Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR

Blender addons to make the bridge between Blender and geographic data

The supplemental material for CHI24.

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

🥳 A fast, global content delivery network for emojis.

A PyTorch Library for Accelerating 3D Deep Learning Research

Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction (IEEE Transactions on Visualization and Computer Graphics, TVCG)

Combining Patches and Point Convolutions for Detailed Surface Reconstruction

🌎 Simple and fast watershed delineation in python.

Learning Implicit Surfaces from Point Clouds (ECCV 2020)

Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ

TLS tree isolation/segmentation code

cuML - RAPIDS Machine Learning Library

Pytorch framework for doing deep learning on point clouds.

C++ implementation for the cut pursuit algorithm, with Matlab interfaces

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Calculate signed distance fields for arbitrary meshes

[IEEE TIP 2022] Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations

Fast citation reference parsing

Measures and metrics for image2image tasks. PyTorch.

pytorch implementation of CPG Loss

Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)