Understanding Dynamic Scenes in Ego Centric 4D Point Clouds
Paper
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2508.07251
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Published
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1
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EgoDynamic4D Dataset from AAAI 2026 paper: Understanding Dynamic Scenes in Egocentric 4D Point Clouds
🚀 EgoDynamic4D QA dataset has been released.
This repository hosts the official implementation of EgoDynamic4D, a large-scale egocentric 4D dynamic scene understanding benchmark introduced in our AAAI 2026 paper:
Understanding Dynamic Scenes in Egocentric 4D Point Clouds
About the Dataset
EgoDynamic4D is a question answering (QA) benchmark designed for fine-grained spatio-temporal reasoning in egocentric dynamic scenes.
The dataset includes:
- Egocentric RGB-D videos
- Camera poses
- Globally unique instance masks
- 4D bounding boxes over time
- Large-scale QA annotations for dynamic reasoning tasks
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.
Please find instructions on Github for usages.
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