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CRAFT: Cross-Attentional Flow Transformers for Optical Flow Estimation
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
[CVPR 2023 - Highlight] Accelerated Coordinate Encoding (ACE): Learning to Relocalize in Minutes using RGB and Poses
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations
An unofficial pytorch implementation of BakedSDF
[RA-L 2023 Best Paper] Official Code Release for LONER: LiDAR Only Neural Representations for Real-Time SLAM
A GPU-accelerated TSDF and ESDF library for robots equipped with RGB-D cameras.
[IEEE RA-L 2024] This repository contains the implementation code for the paper "P-GAT : Pose-Graph Attentional Network for Lidar Place Recognition".
this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.
Pytorch implementation of PointNetVlad
[NeurIPS'2023 Spotlight]: Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization
Official repository of EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization (ICCV 2023)
Codes for "End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization"
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
Deep Camera Pose Regression Using Pseudo-LiDAR
A beautiful, simple, clean, and responsive Jekyll theme for academics
Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)
Implementation of neurobiological SLAM for self-driving car
Codes for Paper <LC2: LiDAR-Camera Loop Constraints From Cross-Modal Place Recognition>.
TRI-ML Monocular Depth Estimation Repository
This is a repository to implement the work of ``Deep Auxiliary Learning for Visual Localization and Odometry'' known as VLocNet.
Attention-Enhanced Cross-modal Localization Between Spherical Images and Point Clouds
kitti360 global Lidar map making and sub-maps division in python
AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments