awesome-t2i-eval
github.com/zhangjiewu/awesome-t2i-eval ↗A curated list of papers and resources for text-to-image evaluation.
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Papers
- Better Aligning Text-to-Image Models with Human Preference
- DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers
- Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback
- Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
- ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
- Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation
Showing a sample of 19 resources. View the full list on GitHub →