Scene Graph to Image Generation with Contextualized Object Layout Refinement

Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, and Lior Wolf

Published in ICIP 2021

Generating images from scene graphs is a challenging task that attracted substantial interest recently. Prior works have approached this task by generating an intermediate layout description of the target image. However, the representation of each object in the layout was generated independently, which resulted in high overlap, low coverage, and an overall blurry layout. We propose a novel method that alleviates these issues by generating the entire layout description gradually to improve inter-object dependency. We empirically show on the COCO-STUFF dataset that our approach improves the quality of both the intermediate layout and the final image. Our approach improves the layout coverage by almost 20 points and drops object overlap to negligible amounts.

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Checkout the paper repository in github.

Cite as

title={Scene Graph to Image Generation with Contextualized Object Layout Refinement},
author={Ivgi, Maor and Benny, Yaniv and Ben-David, Avichai and Berant, Jonathan and Wolf, Lior},
booktitle={2021 IEEE International Conference on Image Processing (ICIP)},
organization={IEEE} }