|GigaPose + MegaPose's refinement
|Submission time (UTC)
|Nov. 27, 2023, 3:49 p.m.
|6D localization of unseen objects
|We use GigaPose to extract 5 hypothesis and run MegaPose's refinement.
|Training image modalities
|Test image modalities
GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence.
GigaPose is a "hybrid" template-patch correspondence approach to estimate 6D pose of novel objects in RGB images: GigaPose first uses templates, rendered images of the CAD models, to recover the out-of-plane rotation (2DoF) and then uses patch correspondences to estimate the remaining 4DoF.
We use GigaPose to extract 5 hypothesis and run MegaPose's refinement.