3D Avatar

3D avatar creation is rapidly advancing, focusing on generating realistic and personalized avatars from diverse input sources like images, videos, and even text descriptions. Current research emphasizes efficient model architectures, such as Gaussian splatting and neural radiance fields (NeRFs), to achieve high-fidelity rendering and animation with reduced computational cost. These advancements are driving progress in applications ranging from virtual and augmented reality to personalized healthcare and behavioral studies, where customizable avatars with accurate facial expressions are crucial for user engagement and data analysis.