GEMS: Scene Expansion using Generative Models of Graphs

@article{Agarwal2022GEMSSE,
  title={GEMS: Scene Expansion using Generative Models of Graphs},
  author={Rishi G. Agarwal and Tirupati Saketh Chandra and Vaidehi Patil and Aniruddha Mahapatra and K. Kulkarni and Vishwa Vinay},
  journal={2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  year={2022},
  pages={157-166}
}
Applications based on image retrieval require editing and associating in intermediate spaces that are representative of the high-level concepts like objects and their relationships rather than dense, pixel-level representations like RGB images or semantic-label maps. We focus on one such representation, scene graphs, and propose a novel scene expansion task where we enrich an input seed graph by adding new nodes (objects) and the corresponding relationships. To this end, we formulate scene… 

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