Appearance Modeling

Appearance modeling aims to create realistic and dynamic representations of humans and objects, focusing on accurately capturing their visual characteristics and how they change over time and with pose. Current research emphasizes developing robust methods for handling complex deformations, such as clothing wrinkles and facial expressions, often employing neural implicit representations, point-based models, and diffusion processes to achieve high-fidelity results in real-time. These advancements have significant implications for applications ranging from virtual avatars and animation to medical imaging and surgical planning, enabling more accurate and efficient simulations of human appearance and movement.