In this experiment, we replace TokenFlow with extended attention and compute it between each frames of the edited video and the keyframes (w joint attention).

Our method outputs videos that better adhere to the edit prompt while maintaining temporal consistency of the resulting edited video

We evaluate our method on DAVIS videos and on Internet videos depicting animals, food, humans, and various objects in motion.

Here's how to edit propagation via our framework, TokenFlow.

Quickly learn what keyframe sampling and joint editing are!

Take a peek at how TokenFlow works and the method we used.

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