Papers › Generating Images from Captions with Attention

Generating Images from Captions with Attention

9 Nov 2015arXiv:1511.02793archive 2025-07-28

Elman Mansimov, Emilio Parisotto, Jimmy Lei Ba, Ruslan Salakhutdinov

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.

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create_reverse_dictionary emansim/text2image/mnist-captions/create-captions.py official repository unverified MIT (permissive) · 2eddcec50e27c45d · report
matrix2sent emansim/text2image/mnist-captions/create-captions.py official repository unverified MIT (permissive) · 62e5ccfbe18626ed · report
sent2matrix emansim/text2image/mnist-captions/create-captions.py official repository unverified MIT (permissive) · be981e13dd331905 · report

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Image GenerationRetrievalText-to-Image Generation

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