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Chop & Learn: Recognizing and Generating Object-state pairs
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2026-01-08 21:07:11
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Chop & Learn Chop & Learn: Recognizing and Generating Object-State Compositions Nirat Saini * , Hanyu Wang * , Archana Swaminathan , Vinoj Jayasundara , Bo He , Kamal Gupta , Abhinav Shrivastava University of Maryland, College Park (ICCV 2023) Paper arXiv Code Data Abstract Recognizing and generating object-state compositions has been a challenging task, especially when generalizing to unseen compositions. In this paper, we study the task of cutting objects in different styles and the resulting object state changes. We propose a new benchmark suite Chop & Learn, to accommodate the needs of learning objects and different cut styles using multiple viewpoints. We also propose a new task of Compositional Image Generation, which can transfer learned cut styles to different objects, by generating novel object-state images. ...
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