# Generating Images from Captions with Attention

Source: [Generating Images from Captions with Attention](<https://www.sota2.com/research/paper/68fa62481e209131ce9f88f7>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T20:16:31.033Z

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

Published: 2015-11-09T18:18:53.000Z

## Abstract

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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1511.02793>)

[PDF](<https://arxiv.org/pdf/1511.02793.pdf>)