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* **Model details**: This model is trained to generate 48 images (12 video frames x 4 camera views) at 576x576 resolution, given a reference video of 12 frames of the same size.
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The generated 12x4 images matrix can be viewed as 4 videos (12 frames each), showing how the dynamic object looks from 4 different camera angles specified by the user.
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To generate longer novel-view videos, we use the first generated frames as reference, and then sample the remaining frames in an auto-regressive manner.
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Please check our [
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### License
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### Model Sources
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* **Repository**: https://github.com/Stability-AI/generative-models
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* **Tech report**: https://sv4d2.0.github.io/static/sv4d2.0_tech_report.pdf
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* **Video summary**: https://youtu.be/dtqj-s50ynU?feature=shared
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* **Project page**: https://sv4d20.github.io
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* **arXiv
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### Training Dataset
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* **Model details**: This model is trained to generate 48 images (12 video frames x 4 camera views) at 576x576 resolution, given a reference video of 12 frames of the same size.
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The generated 12x4 images matrix can be viewed as 4 videos (12 frames each), showing how the dynamic object looks from 4 different camera angles specified by the user.
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To generate longer novel-view videos, we use the first generated frames as reference, and then sample the remaining frames in an auto-regressive manner.
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Please check our [arxiv paper](https://arxiv.org/pdf/2503.16396) and [video summary](https://youtu.be/dtqj-s50ynU?feature=shared) for details.
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### License
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### Model Sources
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* **Repository**: https://github.com/Stability-AI/generative-models
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* **Project page**: https://sv4d20.github.io
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* **arXiv paper**: https://arxiv.org/pdf/2503.16396
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* **Video summary**: https://youtu.be/dtqj-s50ynU?feature=shared
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### Training Dataset
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