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appliedml42
@appliedml42
Dreamix: Video Diffusion Models are General Video Editors https://dreamix-video-editing.github.io/
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appliedml42
@appliedml42
Text-based video editing approach using diffusion models. Fuses low-res video info with synthesized info to match the text prompt. Method has a mixed objective with full temporal attention and attention masking to improve motion editability. Includes a framework for image animation and subject-driven video generation.
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appliedml42
@appliedml42
Keywords: video diffusion models | text-driven image | video editing | motion editability | image animation | subject-driven video generation
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appliedml42
@appliedml42
@douglass another interesting diffusion based video paper that came out recently.
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