Learning Canonical Representations for Scene Graph to Image Generation
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Existing methods for generating images from scene graphs mainly predict an image-like layout from SGs and then generate images based on the layout.
“Existing methods [85,106,140] mainly predict an image-like layout from SGs, and then generate images based on the layout.”
From Diffusion Models: A Comprehensive Survey of Methods and Applications (2024) · cites this paper as [85]
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Cited by
Sorted by citations
Diffusion Models: A Comprehensive Survey of Methods and Applications
Yang, L., Zhang, Z., Song, Y., Hong, S., Xu, R., Zhao, Y., Zhang, W., Cui, B., & Yang, M.-H. (2024) · ACM Computing Surveys · doi:10.1145/3626235 · Cited by 1,704 · see citing works
- Authors
- Herzig, R., Bar, A., Xu, H., Chechik, G., Darrell, T., & Globerson, A.
- Affiliations
- Tel Aviv University (IL)
- University of California, Berkeley (US)
- Bar-Ilan University (IL)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 210-227
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2996573420
- Cited by
- 92
- References
- 70
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 14 · 2023: 28 · 2022: 8 · 2021: 17 · 2020: 7
- FWCI
- 4.63
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Generative Adversarial Networks and Image Synthesis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Keywords
- graph isomorphism, semantic equivalence, graph neural networks
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