no code implementations • 24 Mar 2018 • C. Spampinato, S. Palazzo, P. D'Oro, D. Giordano, M. Shah
Our approach synthesizes videos by 1) factorizing the process into the generation of static visual content and motion, 2) learning a suitable representation of a motion latent space in order to enforce spatio-temporal coherency of object trajectories, and 3) incorporating motion estimation and pixel-wise dense prediction into the training procedure.