Reward models used as quality scorers in text-to-image generation encode demographic biases that cause reward-guided training to sexualize female subjects, reinforce stereotypes, and reduce diversity.
The chicago face database: A free stimulus set of faces and norm- ing data.Behavior research methods, 47(4):1122–1135
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Generative texture synthesis from StyleGAN2 diversifies 3D pedestrian assets from a single base model, improving robustness in 2D object detection while exposing 3D perception models' sensitivity to geometric domain gaps.
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Bias at the End of the Score
Reward models used as quality scorers in text-to-image generation encode demographic biases that cause reward-guided training to sexualize female subjects, reinforce stereotypes, and reduce diversity.
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Generative Texture Diversification of 3D Pedestrians for Robust Autonomous Driving Perception
Generative texture synthesis from StyleGAN2 diversifies 3D pedestrian assets from a single base model, improving robustness in 2D object detection while exposing 3D perception models' sensitivity to geometric domain gaps.