Papers › Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild

Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild

30 Jul 2020ECCV 2020 8arXiv:2007.15649archive 2025-07-28

Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa

We present a method that infers spatial arrangements and shapes of humans and objects in a globally consistent 3D scene, all from a single image in-the-wild captured in an uncontrolled environment. Notably, our method runs on datasets without any scene- or object-level 3D supervision. Our key insight is that considering humans and objects jointly gives rise to "3D common sense" constraints that can be used to resolve ambiguity. In particular, we introduce a scale loss that learns the distribution of object size from data; an occlusion-aware silhouette re-projection loss to optimize object pose; and a human-object interaction loss to capture the spatial layout of objects with which humans interact. We empirically validate that our constraints dramatically reduce the space of likely 3D spatial configurations. We demonstrate our approach on challenging, in-the-wild images of humans interacting with large objects (such as bicycles, motorcycles, and surfboards) and handheld objects (such as laptops, tennis rackets, and skateboards). We quantify the ability of our approach to recover human-object arrangements and outline remaining challenges in this relatively domain. The project webpage can be found at https://jasonyzhang.com/phosa.

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facebookresearch/phosa officialmentioned on GitHubpytorchNOASSERTION report
huochf/StackFLOW mentioned on GitHubpytorch report

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Tasks

3D Human Pose Estimation3D Human Reconstruction3D Object Reconstruction3D Shape Reconstruction3D Shape Reconstruction From A Single 2D ImageCommon Sense ReasoningHuman-Object Interaction DetectionObject

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
3D Human Reconstruction BEHAVE PHOSA Chamfer Distance 12.17 #3 of 3 Archive leaderboard report
3D Object Reconstruction BEHAVE PHOSA Chamfer Distance 26.62 #3 of 3 Archive leaderboard report

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