This is a Plain English Papers summary of a research paper called AI System Learns to Score and Explain Photo Quality Like a Human Expert. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Overview
- Research on teaching Large Multimodal Models (LMMs) to score and interpret image quality
- Introduces VIQAL dataset with 50K image-text pairs for training
- Proposes a new scoring system balancing technical and perceptual factors
- Develops a framework for both numerical quality scores and interpretations
- Achieves strong results compared to specialized image quality models
Plain English Explanation
When we look at a photo, we can usually tell if it's good or bad. We might notice if it's blurry, too dark, or has weird colors. Computers, though, have struggled with this seemingly simple task.
This paper teaches [large multimodal models](https://aimodels.fyi/papers/arxiv/te...
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