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arXiv · 2412.06184

Evaluating Model Perception of Color Illusions in Photorealistic Scenes

Lingjun Mao·Zineng Tang·Alane Suhr
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Abstract

We study the perception of color illusions by vision-language models. Color illusion, where a person's visual system perceives color differently from actual color, is well-studied in human vision. However, it remains underexplored whether vision-language models (VLMs), trained on large-scale human data, exhibit similar perceptual biases when confronted with such color illusions. We propose an automated framework for generating color illusion images, resulting in RCID (Realistic Color Illusion Dataset), a dataset of 19,000 realistic illusion images. Our experiments show that all studied VLMs exhibit perceptual biases similar human vision. Finally, we train a model to distinguish both human perception and actual pixel differences.

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Lingjun Mao, Zineng Tang, Alane Suhr. 2024-12-09. Evaluating Model Perception of Color Illusions in Photorealistic Scenes. https://arxiv.org/abs/2412.06184

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