87 citations · 256 across the 24 of their papers we have counts for
6 papers · 1 filter
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare
Yann Labbé, Lucas Manuelli, Arsalan Mousavian +7
We introduce MegaPose, a method to estimate the 6D pose of novel objects, that is, objects unseen during training. At inference time, the method only assumes knowledge of (i) a reg…
Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos
Zongmian Li, Jiri Sedlar, Justin Carpentier +3
In this paper, we introduce a method to automatically reconstruct the 3D motion of a person interacting with an object from a single RGB video. Our method estimates the 3D poses of…
Differentiable Rendering with Perturbed Optimizers
Quentin Le Lidec, Ivan Laptev, Cordelia Schmid +1
Reasoning about 3D scenes from their 2D image projections is one of the core problems in computer vision. Solutions to this inverse and ill-posed problem typically involve a search…
Single-view robot pose and joint angle estimation via render & compare
Yann Labbé, Justin Carpentier, Mathieu Aubry +1
We introduce RoboPose, a method to estimate the joint angles and the 6D camera-to-robot pose of a known articulated robot from a single RGB image. This is an important problem to g…
CosyPose: Consistent multi-view multi-object 6D pose estimation
Yann Labbé, Justin Carpentier, Mathieu Aubry +1
We introduce an approach for recovering the 6D pose of multiple known objects in a scene captured by a set of input images with unknown camera viewpoints. First, we present a singl…
Estimating 3D Motion and Forces of Person-Object Interactions from Monocular Video
Zongmian Li, Jiri Sedlar, Justin Carpentier +3
In this paper, we introduce a method to automatically reconstruct the 3D motion of a person interacting with an object from a single RGB video. Our method estimates the 3D poses of…