Learning the Depths of Moving People by Watching Frozen People

Learn to predict depths of moving people by observing frozen people. Understand the applications and limitations of existing technologies like SLAM/MVS and traditional stereo triangulation. Develop skills in single-view depth prediction using multi-view supervision and applying it to internet images. Train models on human data and improve depth prediction accuracy. The course uses RGB images for training and teaches how more input leads to better performance. The intended audience for this course includes computer vision enthusiasts and researchers interested in depth prediction techniques.