We propose a novel framework for finding correspondences in images based on a deep
neural network that, given two images and a query point in one of them, finds its …

Robust and accurate visual localization is a fundamental capability for numerous
applications, such as autonomous driving, mobile robotics, or augmented reality. It remains …

Virtual reality, augmented reality, robotics, and autonomous driving, have recently attracted
much attention from both academic and industrial communities, in which image-based …

We introduce a comprehensive benchmark for local features and robust estimation
algorithms, focusing on the downstream task—the accuracy of the reconstructed camera …

Unlike its image based counterpart, point cloud based retrieval for place recognition has
remained as an unexplored and unsolved problem. This is largely due to the difficulty in …

Humans can orient themselves in their 3D environments using simple 2D maps. Differently,
algorithms for visual localization mostly rely on complex 3D point clouds that are expensive …

Visual localization enables autonomous vehicles to navigate in their surroundings and
augmented reality applications to link virtual to real worlds. Practical visual localization …

Accurately determining the position and orientation from which an image was taken, ie,
computing the camera pose, is a fundamental step in many Computer Vision applications …

Abstract Neural Radiance Fields (NeRF) have recently demonstrated photorealistic results
for the task of novel view synthesis. In this paper, we propose to apply novel view synthesis …

We address the task of estimating camera parameters from a set of images depicting a
scene. Popular feature-based structure-from-motion (SfM) tools solve this task by …