computer-vision-11
Complex Scene Breaking and Synthesis
3260 papers • 126 benchmarks • 313 datasets
Given a single image with multiple concepts, annotated by loose segmentation masks, the method needs to learn a distinct token for each concept, and use natural language guidance to re-synthesize the individual concepts or combinations of them in various contexts.
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Most implemented papers
Break-A-Scene: Extracting Multiple Concepts from a Single Image
Ohad Fried, Kfir Aberman, D. Lischinski, D. Cohen-Or, Omri Avrahami•Wed May 24 2023
The task of textual scene decomposition is introduced: given a single image of a scene that may contain several concepts, it is aimed to extract a distinct text token for each concept, enabling fine-grained control over the generated scenes.
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