Papers with text-to-image generation systems

2 papers
Fréchet Distance for Offline Evaluation of Information Retrieval Systems with Sparse Labels (2024.eacl-long)

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Challenge: Obtaining high-quality labeled data that accurately represents complexity of real-world scenarios can be expensive, time-consuming, or even impractical.
Approach: They propose to use Fréchet Inception Distance to measure distance between judged items and retrieved results.
Outcome: The proposed method improves on a MS MARCO dataset and TREC Deep Learning Tracks query sets.
Learning the Visualness of Text Using Large Vision-Language Models (2023.emnlp-main)

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Challenge: Visual text evokes an image in a person’s mind, while non-visual text fails to do so.
Approach: They propose a method to automatically detect visualness in text to enable text-to-image retrieval and generation models to augment text with relevant images.
Outcome: The proposed method performs better than several baseline models and heuristics for the task.

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