  We live in a 3D world, performing activities and interacting with objects in
the indoor environments everyday. Indoor scenes are the most familiar and
essential environments in everyone's life. In the virtual world, 3D indoor
scenes are also ubiquitous in 3D games and interior design. With the fast
development of VR/AR devices and the emerging applications, the demand of
realistic 3D indoor scenes keeps growing rapidly. Currently, designing detailed
3D indoor scenes requires proficient 3D designing and modeling skills and is
often time-consuming. For novice users, creating realistic and complex 3D
indoor scenes is even more difficult and challenging.
  Many efforts have been made in different research communities, e.g. computer
graphics, vision and robotics, to capture, analyze and generate the 3D indoor
data. This report mainly focuses on the recent research progress in graphics on
geometry, structure and semantic analysis of 3D indoor data and different
modeling techniques for creating plausible and realistic indoor scenes. We
first review works on understanding and semantic modeling of scenes from
captured 3D data of the real world. Then, we focus on the virtual scenes
composed of 3D CAD models and study methods for 3D scene analysis and
processing. After that, we survey various modeling paradigms for creating 3D
indoor scenes and investigate human-centric scene analysis and modeling, which
bridge indoor scene studies of graphics, vision and robotics. At last, we
discuss open problems in indoor scene processing that might bring interests to
graphics and all related communities.
