Making people move convincingly in text-to-video AI systems requires that the system have some prior knowledge about the way people move. But baking that knowledge into a huge model presents a number of practical and logistical challenges. What if, instead, one was free to obtain motion priors from a much wider net of videos, instead of training them, at great expense, into a single model? The post Powering Generative Video With Arbitrary Video Sources first appeared on Metaphysic.ai.
