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# EgoDynamic4D Dataset from AAAI 2026 paper: [Understanding Dynamic Scenes in Egocentric 4D Point Clouds](https://arxiv.org/abs/2508.07251)
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🚀 **EgoDynamic4D dataset
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This repository hosts the official
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> **Understanding Dynamic Scenes in Egocentric 4D Point Clouds**
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The dataset is constructed based on existing egocentric 4D resources, building upon [ADT](https://arxiv.org/abs/2306.06362) and [THUD++](https://arxiv.org/abs/2412.08096). Our main contribution lies in the **large-scale, task-driven QA annotations**, which enable fine-grained spatio-temporal reasoning in dynamic egocentric scenes.
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# EgoDynamic4D Dataset from AAAI 2026 paper: [Understanding Dynamic Scenes in Egocentric 4D Point Clouds](https://arxiv.org/abs/2508.07251)
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🚀 **EgoDynamic4D QA dataset has been released.**
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This repository hosts the official implementation of **EgoDynamic4D**, a large-scale egocentric **4D dynamic scene understanding** benchmark introduced in our AAAI 2026 paper:
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> **Understanding Dynamic Scenes in Egocentric 4D Point Clouds**
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The dataset is constructed based on existing egocentric 4D resources, building upon [ADT](https://arxiv.org/abs/2306.06362) and [THUD++](https://arxiv.org/abs/2412.08096). Our main contribution lies in the **large-scale, task-driven QA annotations**, which enable fine-grained spatio-temporal reasoning in dynamic egocentric scenes.
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**Please find instructions on [Github](https://github.com/Dancing-Github/EgoDynamic4D) for usages.**
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