Non Rigid Deformation

Non-rigid deformation research focuses on accurately modeling and simulating how objects, particularly soft tissues and flexible materials, change shape over time. Current efforts leverage various techniques, including data-driven approaches like UNet architectures and SMPL models extended with soft tissue layers, as well as optimization-based methods and transformer networks designed for efficient motion decomposition and registration. These advancements are crucial for applications ranging from realistic human body simulation in virtual environments to improved medical image analysis and robust 3D reconstruction of dynamic scenes, impacting fields like computer graphics, robotics, and medical imaging.