AI RESEARCH
Spatial Colour Mixing Illusions as a Perception Stress Test for Vision-Language Models
arXiv CS.CV
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ArXi:2603.06141v1 Announce Type: new Vision-language models (VLMs) achieve strong benchmark results, yet can exhibit systematic perceptual weaknesses: structured, large changes to pixel values can cause confident yet nonsensical predictions, even when the underlying scene remains easily recognizable to humans. We study this gap using Spatial Colour Mixing, a programmatic family of colour distortions that overlays structured patterns (in both RGB and Ostwald colour systems) onto natural images. We.