AI RESEARCH
DistortBench: Benchmarking Vision Language Models on Image Distortion Identification
arXiv CS.LG
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ArXi:2604.19966v1 Announce Type: cross Vision-language models (VLMs) are increasingly used in settings where sensitivity to low-level image degradations matters, including content moderation, image restoration, and quality monitoring. Yet their ability to recognize distortion type and severity remains poorly understood. We present DistortBench, a diagnostic benchmark for no-reference distortion perception in VLMs.