Artificial Intelligence #ai-generated image#quality assessment
New Multi-Scale Two-Stream Framework Aims to Decouple Semantics from Distortions in AI-Generated Image Quality Assessment
Researchers introduce MST-CLIPIQA, a multi-scale two-stream vision-language framework that decouples semantic understanding from distortion detection to improve AI-generated image quality assessment. The method uses dual CLIP encoders and an information bottleneck gated fusion mechanism, achieving state-of-the-art results on five benchmarks with only 0.8 million trainable parameters.
Jun 16, 2026 1 source