[ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.

A curated list of awesome visual localization research works.

[IROS 2024] Representing 3D sparse map points and lines for camera relocalization

DFNet: Enhance Absolute Pose Regression with Direct Feature Matching (ECCV 2022)

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization, Geometric loss functions for camera pose regression with deep learning, PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

Hierarchical Scene Coordinate Classification and Regression for Visual Localization

Implementation of "Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network" by Z.Laskar et al.

(CVPR 2024) Neural Refinement for Absolute Pose Regression with Feature Synthesis

Direct-PoseNet: Absolute Pose Regression with Photometric Consistency (3DV 2021)

A CNN-based local image descriptor

A PyTorch implementation of "Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network" by Z.Laskar et al.

Datasets for long-term visual localization with sequential images in large-scale spaces

[ECCV'24] Differentiable Product Quantization for Memory Efficient Camera Relocalization

Implementation of paper "Backtracking Regression Forests for Accurate Camera Relocalization"