tohinz/semantic-object-accuracy-for-generative-text-to-image-synthesis
Code for "Semantic Object Accuracy for Generative Text-to-Image Synthesis" (TPAMI 2020)
This project helps researchers and developers evaluate how well AI models generate images from text descriptions. It takes a text caption (like "a car is driving down the street") and the image an AI model generates from it. It then checks if the correct objects mentioned in the caption are actually present in the generated image. This tool is designed for AI researchers and practitioners working on generative image models.
106 stars. No commits in the last 6 months.
Use this if you need a reliable and human-correlated metric to assess the quality of images produced by your text-to-image AI model, specifically regarding the presence of described objects.
Not ideal if you are looking for a tool to generate images directly, as this focuses solely on evaluating existing generated images.
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106
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23
Language
Python
License
MIT
Category
Last pushed
Jan 13, 2022
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