Feb. 12, 2024, 5:45 a.m. | Peter H\"onig Stefan Thalhammer Markus Vincze

cs.CV updates on arXiv.org arxiv.org

Estimating 2D-3D correspondences between RGB images and 3D space is a fundamental problem in 6D object pose estimation. Recent pose estimators use dense correspondence maps and Point-to-Point algorithms to estimate object poses. The accuracy of pose estimation depends heavily on the quality of the dense correspondence maps and their ability to withstand occlusion, clutter, and challenging material properties. Currently, dense correspondence maps are estimated using image-to-image translation models based on GANs, Autoencoders, or direct regression models. However, recent advancements in …

accuracy algorithms cs.cv diffusion diffusion models images maps quality space

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