GTA-IM Dataset (GTA Indoor Motion)

Introduced by Cao et al. in Long-term Human Motion Prediction with Scene Context

The GTA Indoor Motion dataset (GTA-IM) that emphasizes human-scene interactions in the indoor environments. It consists of HD RGB-D image sequences of 3D human motion from a realistic game engine. The dataset has clean 3D human pose and camera pose annotations, and large diversity in human appearances, indoor environments, camera views, and human activities.

Source: https://github.com/ZheC/GTA-IM-Dataset

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