[ECCV'24] Differentiable Product Quantization for Memory Efficient Camera Relocalization
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Updated
Sep 27, 2024
[ECCV'24] Differentiable Product Quantization for Memory Efficient Camera Relocalization
Datasets for long-term visual localization with sequential images in large-scale spaces
Implementation of paper "Backtracking Regression Forests for Accurate Camera Relocalization"
(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.
[IROS 2024] Representing 3D sparse map points and lines for camera relocalization
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching (ECCV 2022)
Implementation of "Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network" by Z.Laskar et al.
Hierarchical Scene Coordinate Classification and Regression for Visual Localization
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
A curated list of awesome visual localization research works.
[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.
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