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Variants of the classic Lucas-Kanade image alignment algorithm
Python tools for working with KITTI data.
Python package for the evaluation of odometry and SLAM
A Robust and Versatile Monocular Visual-Inertial State Estimator
PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features
Poisson Surface Reconstruction for LiDAR Odometry and Mapping
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๐ SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.
A faster implementation of PointNet++ based on PyTorch.
Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)
PU-GAN: a Point Cloud Upsampling Adversarial Network, ICCV, 2019
PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018
PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
Open3D: A Modern Library for 3D Data Processing
Official implementation of the ICCV 2021 paper: "The Power of Points for Modeling Humans in Clothing".
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
Official implementation of the 3DV 2022 paper: "Neural Point-based Shape Modeling of Humans in Challenging Clothing".
Deep Learned Keypoint Detection and Description for 3D LiDARs
A simple Structure-from-motion software and toolbox
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration