In this paper, we present a generalizable model-free 6-DoF object pose estimator called
Gen6D. Existing generalizable pose estimators either need the high-quality object models or …

In this paper we explore the recent topic of point cloud completion, guided by an auxiliary
image. We show how it is possible to effectively combine the information from the two …

6-DoF object pose estimation from a monocular image is a challenging problem, where a
post-refinement procedure is generally needed for high-precision estimation. In this paper …

The majority of Earth's surface is situated in the deep sea and thus remains deprived of
natural light. Such adverse underwater environments have to be explored with powerful …

Recently, regression-based methods have dominated the field of 3D human pose and
shape estimation. Despite their promising results, a common issue is the misalignment …

Human has an incredible ability to effortlessly perceive the viewpoint difference between two
images containing the same object, even when the viewpoint change is astonishingly vast …

Reconstructing 3D shape and pose of static objects from a single image is an essential task
for various industries, including robotics, augmented reality, and digital content creation …

Pose estimation is usually tackled as either a bin classification or a regression problem. In
both cases, the idea is to directly predict the pose of an object. This is a non-trivial task due …

Acoustic cameras, also known as 2D forward looking sonars, show high reliability in
underwater environments as they can produce high resolution images even if the …