Author name: Samer Abualhanud, Christian Grannemann, Max Mehltretter

arXiv:2511.16428v3 Announce Type: replace
Abstract: Self-supervised surround-view depth estimation enables dense, low-cost 3D perception with a 360{\deg} field of view from multiple minimally overlapping images. Yet, most existing methods suffer from …

arXiv:2511.16428v2 Announce Type: replace
Abstract: Self-supervised surround-view depth estimation enables dense, low-cost 3D perception with a 360{\deg} field of view from multiple minimally overlapping images. Yet, most existing methods suffer from …