Character Animation

Character animation research aims to create realistic and controllable virtual characters for applications ranging from film and gaming to virtual reality and digital twins. Current efforts focus on developing robust and versatile control methods, often employing deep learning models like transformers and diffusion probabilistic models, to generate motions from diverse inputs such as text prompts, keyframes, and scene information. These advancements leverage techniques like motion inpainting, physics-based simulation, and multi-modal learning to improve animation quality, realism, and efficiency, impacting fields requiring lifelike character interactions.