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What is the task?

Modeling articulated object dynamics and human-object interactions in 3D indoor scenes.

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Input

A 3D point cloud of an indoor scene containing articulated objects

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Output

  • Movable-part segmentation Detect all articulated (movable) parts
  • Motion prediction Axis, origin, and motion type
  • Interactable regions Handles, knobs, and graspable areas

๐Ÿ“Š Evaluation

Performance is evaluated jointly on segmentation quality and motion accuracy.

AP@50
Segmentation
MA
Axis
MO
Origin
MAO-ST
Axis + Origin
  • AP@50: Average precision at IoU threshold 0.5 for segmentation
  • MA: Motion axis prediction accuracy (higher is better)
  • MO: Motion origin prediction accuracy (higher is better)
  • MAO-ST: Motion Axis + Origin prediction accuracy

For more information, refer to our paper.

๐Ÿ“ค Submission: Participants can submit their predictions on the evaluation server .

The challenge platform is based on the open-source EvalAI framework and is hosted on our own infrastructure. For questions regarding the baseline or submission platform, contact yangmiaogz@gmail.com.