awesome-image-quality-assessment
github.com/chaofengc/awesome-image-quality-assessment ↗A comprehensive collection of IQA papers
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
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Installation instructions →What's inside
Papers
- A Comprehensive Study of Multimodal Large Language Models for Image Quality AssessmentExplainable IQA
- Adaptive Image Quality Assessment via Teaching Large Multimodal Model to CompareNo Reference (NR)
- AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics PerceptionImage Aesthetic Assessment
- AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics PerceptionGithubImage Aesthetic Assessment
Bibtex
- AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics PerceptionImage Aesthetic Assessment
- AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics PerceptionProjectImage Aesthetic Assessment
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Datasets
Showing a sample of 188 resources. View the full list on GitHub →