Generating Images from Captions with Attention
注意从字幕生成图像 基于生成模型的最新进展，我们引入了一种根据自然语言描述生成图像的模型。 提出的模型以迭代方式在画布上绘制补丁，同时注意描述中的相关单词。在接受Microsoft COCO培训后，我们将我们的模型与几个基准生成模型进行了图像生成和检索任务比较。 我们证明，与其他方法相比，我们的模型可以产生更高质量的样本，并且可以生成具有新颖场景组成的图像，这些图像与数据集中以前看不到的字幕相对应
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相关文章
- 1. text to image（一）:《GENERATING IMAGES FROM CAPTIONS WITH ATTENTION》
- 2. Every Picture Tells a Story: Generating Sentences from Images
- 3. Transferring GANs: generating images from limited data 论文学习
- 4. Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training
- 5. 论文理解：Generating Diverse High-Fidelity Images with VQ-VAE-2
- 6. Working with Docker Images
- 7. CRAFT Objects from Images
- 8. Generating Videos With Scene Dynamics
- 9. big code: code2seq Generating Sequences from Structured Representations of Code
- 10. 【读】seq2seq——（1）Generating News Headlines with Recurrent Neural Networks