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CVPR2025Top-tier venue

Functionality Understanding and Segmentation in 3D Scenes

Jaime Corsetti, Francesco Giuliari, Alice Fasoli, Davide Boscaini, Fabio Poiesi

2025Year
2Top-tier citations

Abstract

Turn on the ceiling light using the switch next to the TV Open the top right drawer of the cabinet with the TV on top Fun3DU #4f1787ff #eb3678ff #fb773cff Open the second drawer of the cabinet to the left of the TV #bae1ff World Knowledge & Vision Perception Figure 1 . We present Fun3DU, the first method for functionality understanding and segmentation in 3D scenes. Fun3DU interprets natural language descriptions (left-hand side) in order to segment functional objects in real-world 3D environments (right-hand side). Fun3DU relies on world knowledge and vision perception capabilities of pre-trained vision and language models, without requiring task-specific finetuning.

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