F2G-Pose estimates category-level RGB-D object pose in one pass
It reports state-of-the-art accuracy on SOPE and ROPE at 28 FPS for pose-only inference, with code and weights released.
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Stories tagged #pose-estimation
HumanoidPose estimates robot joint pose from video alone
On three real humanoid platforms, joint-angle error fell 18-32% versus the best baseline on each.
RLHND: Video Foundation Models as Physically Grounded Hand Trackers for Robot Learning
RLHND turns the Cosmos 3 video model into a tracker estimating hand pose, contact, and force for robot learning.