pith:5PAHF7TL
Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance
Kiwi-Edit achieves state-of-the-art results in controllable video editing by combining instructions with reference images through a new data pipeline and architecture.
arxiv:2603.02175 v4 · 2026-03-02 · cs.CV · cs.AI
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Claims
Our model achieves significant gains in instruction following and reference fidelity via a progressive multi-stage training curriculum. Extensive experiments demonstrate that our data and architecture establish a new state-of-the-art in controllable video editing.
The image generative models used in the data pipeline produce synthesized reference scaffolds that are high-fidelity and unbiased enough to train a model that generalizes to real user-provided references without introducing artifacts or distribution shifts.
Kiwi-Edit introduces a scalable pipeline to generate RefVIE dataset and a unified model using learnable queries plus reference features to achieve new state-of-the-art in instruction-and-reference guided video editing.
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| First computed | 2026-05-18T03:09:23.219439Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
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| Schema | pith-number/v1.0 |
Canonical hash
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Canonical record JSON
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