OPDMulti: Openable Part Detection for Multiple Objects

Understand

Openable part detection is the task of detecting the openable parts of an object in a single-view image, and predicting corresponding motion parameters.

• Prior work investigated the unrealistic setting where all input images only contain a single openable object.
• We generalize this task to scenes with multiple objects each potentially possessing openable parts, and create a corresponding dataset based on real-world scenes.
• We then address this more challenging scenario with OPDFormer: a part-aware transformer architecture.