Generating Images from Captions with Attention
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Cited by 47 in Diffusion models, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Motivated by the recent progress in generative models, we introduce a model that generates images from natural language descriptions. The proposed model iteratively draws patches on a canvas, while attending to the relevant words in the description. After training on Microsoft COCO, we compare our model with several baseline generative models on image generation and retrieval tasks. We demonstrate that our model produces higher quality samples than other approaches and generates images with novel scene compositions corresponding to previously unseen captions in the dataset.
Key facts. Cited by 136 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Nov 2015.
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Citing papers per year: 2021: 19; 2022: 17; 2023: 53; 2024: 34; 2025: 10; 2026: 3.
136 papers.
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