metadata
license: cc-by-nc-4.0
datasets:
- AGI-Eval-Official/Q-Eval-100K
language:
- en
arxiv: 2503.02357
Model Description
This model (Q-Eval-Score) is proposed in the paper "Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content". It is designed to comprehensively assess the quality and alignment of AI-generated visual content across both images and videos.
The model provides evaluation in four key dimensions:
- Text-Image Alignment Evaluation: A model for assessing the alignment between AI-generated images and their corresponding textual descriptions.
- Image Quality Evaluation: A model dedicated to evaluating the perceptual quality of AI-generated images.
- Text-Video Alignment Evaluation: A model for measuring the alignment between AI-generated videos and their associated textual descriptions.
- Video Quality Evaluation: A model focused on evaluating the visual quality of AI-generated videos.