ziqihuangg/Awesome-Evaluation-of-Visual-Generation
A list of works on evaluation of visual generation models, including evaluation metrics, models, and systems
This resource helps AI researchers and developers assess the quality and consistency of their image and video generation models. It compiles various evaluation metrics and systems, allowing users to benchmark model performance and ensure generated visuals align with intended inputs. Researchers can use this to compare different generative AI approaches or fine-tune their models for better output quality.
420 stars. No commits in the last 6 months.
Use this if you are developing or studying visual generative AI models and need to rigorously evaluate their performance, output quality, or how well they respond to user controls.
Not ideal if you are a casual user looking for tools to simply generate images or videos without needing to deeply analyze or compare the underlying model performance.
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Sep 22, 2025
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