![]() Documentation on our dataset structure and contents.Ĭlone this repository, and create local environment: conda env create -f environment.yml.įor your convinience, we provide a fragment of our data in demo directory.Instructions to request our full dataset.The dataset has clean 3D human pose and camera pose annoations, and large diversity in human appearances, indoor environments, camera views, and human activities. We collect HD RGB-D image seuqences of 3D human motion from realistic game engine. This repository maintains our GTA Indoor Motion dataset (GTA-IM) that emphasizes human-scene interactions in the indoor environments. Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik. Long-term Human Motion Prediction with Scene Context, ECCV 2020 (Oral) PDF
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