Paper evaluates reasoning fidelity in visual text generation

Arxiv CS.CV (computer vision)

The paper proposes a framework to assess whether text-to-image models faithfully render text with correct spelling, grammar, and logical consistency. It introduces a benchmark of 500 prompts and finds that even top models struggle with multi-line text and numerical details.

text-to-image

Arxiv CS.CV (computer vision)·Jiajun HongJiawei Zhou

7 days ago