Motion in Betweening

Motion in-betweening is the process of generating realistic intermediate movements between given keyframes in animation, aiming to create fluid and natural-looking motion sequences. Current research focuses on developing data-driven methods, employing architectures like diffusion models, transformers, and autoencoders, to achieve diverse, controllable, and physically plausible in-betweening, often incorporating spatial and temporal constraints. These advancements improve animation efficiency and quality, impacting fields like computer animation, game development, and virtual reality by enabling more realistic and expressive character movements. The development of novel evaluation metrics, beyond traditional Chamfer Distance, is also a key area of ongoing work.