2023

Dreamix: Video Diffusion Models are General Video Editors

Molad, Eyal, Horwitz, Eliahu, Valevski, Dani et al.

Understand

Text-driven image and video diffusion models have recently achieved unprecedented generation realism.

  • While diffusion models have been successfully applied for image editing, very few works have done so for video editing.
  • We present the first diffusion-based method that is able to perform text-based motion and appearance editing of general videos.
  • Our approach uses a video diffusion model to combine, at inference time, the low-resolution spatio-temporal information from the original video with new, high resolution information that it synthesized to align with the guiding text prompt.

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