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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 is coming soon.**
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+ This repository hosts the official release 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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+ ---
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+ ## About the Dataset
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+ **EgoDynamic4D** is a question answering (QA) benchmark designed for fine-grained **spatio-temporal reasoning** in egocentric dynamic scenes.
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+ The dataset includes:
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+ * Egocentric RGB-D videos
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+ * Camera poses
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+ * Globally unique instance masks
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+ * 4D bounding boxes over time
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+ * Large-scale QA annotations for dynamic reasoning tasks
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+ The dataset is constructed based on existing egocentric 4D resources, building upon **ADT and THUD++**. Our main contribution lies in the **large-scale, task-driven QA annotations**, which enable fine-grained spatio-temporal reasoning in dynamic egocentric scenes.