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We introduce D3D-HOI: a dataset of monocular videos with ground truth annotations of 3D object pose, shape and part motion during human-object interactions.
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G. Bradski · 2000
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Human3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
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Adam: A method for stochastic optimization
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Pigraphs: learning interaction snapshots from observations
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Shubham Tulsiani, Saurabh Gupta, David F Fouhey, Alexei A Efros, and Jitendra Malik · 2018
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Holistic++ scene understanding: Single-view 3d holistic scene parsing and human pose estimation with human-object interaction and physical commonsense
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Mesh r-cnn
Georgia Gkioxari, Jitendra Malik, and Justin Johnson · 2019
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Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, and Michael J Black · 2019
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Soft rasterizer: A differentiable renderer for image-based 3d reasoning
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Category-level articulated object pose estimation
Xiaolong Li, He Wang, Li Yi, Leonidas J Guibas, A Lynn Abbott, and Shuran Song · 2020
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3d human motion estimation via motion compression and refinement
Zhengyi Luo, S. Alireza Golestaneh, and Kris M. Kitani · 2020
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Yinyu Nie, Xiaoguang Han, Shihui Guo, Yujian Zheng, Jian Chang, and Jian Jun Zhang · 2020
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Accelerating 3d deep learning with pytorch3d
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Perceiving 3d human-object spatial arrangements from a single image in the wild
Jason Y Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, and Angjoo Kanazawa
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igibson, a simulation environment for interactive tasks in large realisticscenes
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