  We present a comparison review that evaluates popular techniques for garment
draping for 3D fashion design, virtual try-ons, and animations. A comparative
study is performed between various methods for garment draping of clothing over
the human body. These include numerous models, such as physics and machine
learning based techniques, collision handling, and more. Performance
evaluations and trade-offs are discussed to ensure informed decision-making
when choosing the most appropriate approach. These methods aim to accurately
represent deformations and fine wrinkles of digital garments, considering the
factors of data requirements, and efficiency, to produce realistic results. The
research can be insightful to researchers, designers, and developers in
visualizing dynamic multi-layered 3D clothing.
