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Generating images with accurate visual text

Published on:

25 March 2024

Primary Category:

Computer Vision and Pattern Recognition

Paper Authors:

Sanyam Lakhanpal,

Shivang Chopra,

Vinija Jain,

Aman Chadha,

Man Luo


Key Details

Created benchmark to test generating long, uncommon text

Identified limitations of existing text-to-image models

Proposed training-free method to reduce text overlap and fix misspellings

Achieved gains of over 20% in text accuracy metrics

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AI generated summary

Generating images with accurate visual text

This paper introduces methods to improve the accuracy of text rendered within images produced by AI systems. The researchers created a benchmark to evaluate models on generating lengthy, complex text. They then developed a training-free technique to enhance existing models by minimizing text overlap and correcting spelling errors, demonstrating significant gains.

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