Skeleton Based Character

Skeleton-based character animation is evolving beyond traditional skeletal rigging, focusing on methods that generate realistic movement for diverse 3D characters, including non-humanoid forms and even inanimate objects. Current research emphasizes learning-based approaches, employing neural networks (including diffusion models and two-stream networks) to predict and transfer poses, handle cloth deformation, and even reconstruct skeletal structures from video data. This work aims to improve animation quality, efficiency, and generalizability across a wider range of character types, impacting fields such as computer animation, virtual reality, and video game development.