Abstract: Unseen object pose estimation methods often rely on CAD models or multiple reference views, making the onboarding stage costly. To simplify reference acquisition, we aim to estimate the ...
OR you can follow the steps below: The code is tested with python 3.9, cuda == 11.3, pytorch == 1.10.1. Additionally dependencies include: h5py kornia torch torchvision omegaconf torchmetrics==0.10.3 ...
Abstract: Estimating the pose of an unseen object is challenging since the pose in object space and the 3D shape are not trainable. Previous methods relied on either template matching with numerous ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results