14 citations · 29 across the 10 of their papers we have counts for
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cs.CV2023
Transferring Visual Attributes from Natural Language to Verified Image Generation
Rodrigo Valerio, Joao Bordalo, Michal Yarom +3
Text to image generation methods (T2I) are widely popular in generating art and other creative artifacts. While visual hallucinations can be a positive factor in scenarios where cr…
cs.CL2023★ 14 cited
What You See is What You Read? Improving Text-Image Alignment Evaluation
Michal Yarom, Yonatan Bitton, Soravit Changpinyo +5
Automatically determining whether a text and a corresponding image are semantically aligned is a significant challenge for vision-language models, with applications in generative t…