Complex Scene Breaking and Synthesis

1 papers with code • 0 benchmarks • 0 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.

Most implemented papers

Break-A-Scene: Extracting Multiple Concepts from a Single Image

google/break-a-scene 25 May 2023

Text-to-image model personalization aims to introduce a user-provided concept to the model, allowing its synthesis in diverse contexts.