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20222026
most citedDiscovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning

8 citations · 9 across the 6 of their papers we have counts for

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2 papers · 1 filter

cs.LG2024★ 1 cited

Evaluating Numerical Reasoning in Text-to-Image Models

Ivana Kajić, Olivia Wiles, Isabela Albuquerque +4

Text-to-image generative models are capable of producing high-quality images that often faithfully depict concepts described using natural language. In this work, we comprehensivel…

cs.CV2024

Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings

Olivia Wiles, Chuhan Zhang, Isabela Albuquerque +11

While text-to-image (T2I) generative models have become ubiquitous, they do not necessarily generate images that align with a given prompt. While previous work has evaluated T2I al…