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In this report, we present MagicEdit, a surprisingly simple yet effectivesolution to the text-guided video editing task. We found that high-fidelity andtemporally coherent video-to-video translation can be achieved by explicitlydisentangling the learning of content, structure and motion signals duringtraining. This is in contradict to most existing methods which attempt tojointly model both the appearance and temporal representation within a singleframework, which we argue, would lead to degradation in per-frame quality.Despite its simplicity, we show that MagicEdit supports various downstreamvideo editing tasks, including video stylization, local editing, video-MagicMixand video outpainting.

MagicEdit: High-Fidelity and Temporally Coherent Video Editing