Digital humans are increasingly becoming a part of our lives with applications like animation, gaming, virtual try-on, VR/XR and much more. In recent years there has been a great push to make our models of digital humans as real as possible. In this thesis we present methodologies to model two key characteristics of real humans, their "appearance" and "actions". To this end, we discuss what are the best representations for humans, clothing and their interactions with their surroundings? How can we extract human appearance cues like pose, shape and clothing from scans, point clouds and images? How can we capture and in-turn model human-object interaction? and more.