by Matteo Poggi The Monocular Depth Estimation Challenge (MDEC) had its first edition in late 2022, when monodepth was working reasonably well, yet it was still far from being considered as mature as we could consider stereo already. In the three years between it and this fourth edition, things drastically changed, and this workshop evolved accordingly to side with this revolution. A quiet revolution, as defined by Konrad Schindler through an inspiring analogy to weather report, driven by small and consistent advances occurring one after the other, as well as by the much larger scale of data becoming available through the years. This has brought monodepth much closer to becoming a commodity, and already a core ingredient in some of the intriguing, higher-level applications shown by Yiyi Liao in her talk. Despite this steady progress, some challenges remain open and represent a fascinating opportunity to further advance the fields, such as the possibility of scaling up to highresolution images spotlighted by Peter Wonka and his cutting-edge works. We feel this fourth edition marked a line, further confirming the increasing excitement around monodepth and making both the participants and the organizers wonder about what is yet to come next.” 35 Computer Vision News Computer Vision News CVPR Monodepth Challenge
RkJQdWJsaXNoZXIy NTc3NzU=