GradBias shows that neutral words can significantly influence biases and it outperforms several baselines, including state-of-the-art foundation models.
Aug 29, 2024
Aug 29, 2024 · GradBias shows that neutral words can significantly influence biases and it outperforms several baselines, including state-of-the-art foundation ...
GradBias shows that neutral words can significantly influence biases and it outperforms several baselines, including state-of-the-art foundation models. Code ...
View recent discussion. Abstract: Recent progress in Text-to-Image (T2I) generative models has enabled high-quality image generation.
TL;DR: The paper introduces OpenBias and GradBias frameworks for detecting and analyzing biases in Text-to-Image generative models without predefined categories ...
This pipeline leverages a Large Language Model (LLM) to propose biases starting from a set of captions. Next, these captions are used by the target generative ...
Aug 29, 2024 · This paper investigates the influence of individual words on biased outputs in text-to-image generative models. The authors introduce GradBias, ...
GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models ... OpenBias detects and quantifies biases, while GradBias determines the ...
Article "GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models" Detailed information of the J-GLOBAL is an information service ...
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