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Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset

How AI Learned to Edit Videos Like a Pro—Without Real Footage

Ever wondered how a computer could follow your exact video‑editing instructions? Researchers built a clever system called Ditto that teaches AI to cut, add, and transform clips just by reading a simple command.
The trick? Instead of hunting for endless real videos, they let a powerful image editor imagine scenes and then stitched them together with a fast video generator, creating a massive library of one‑million synthetic examples.
Think of it like a chef who practices recipes in a virtual kitchen before cooking for real guests.
This synthetic “cookbook” lets the AI learn the art of editing without the huge cost of filming everything.
The result is Editto, a model that follows instructions with surprising accuracy, setting a new benchmark for AI‑driven video creation.
This breakthrough means anyone could soon turn a text prompt into a polished clip, opening doors for creators, teachers, and marketers alike.
Imagine the possibilities when video editing becomes as easy as sending a message—your story, your way, in seconds.

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Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset

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