2025
Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise
CVPR 2025poster
Generative modeling aims to transform random noise into structured outputs. In this work, we enhance video diffusion models by allowing motion control via structured latent noise sampling. This is achieved by just a change in data: we pre-process training videos to yield structured noise. Consequent…