Imagen de Portada

When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Choi, Dasol, Lee, Jihwan, Lee, Minjae, Kahng, Minsuk
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition
por: Choi, Dasol, et al.
Publicado: (2025)

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models
por: Porikli, Sedat, et al.
Publicado: (2025)

Compositional Image Synthesis with Inference-Time Scaling
por: Ji, Minsuk, et al.
Publicado: (2025)

Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
por: Choi, Dasol, et al.
Publicado: (2024)

BrainDecoder: Style-Based Visual Decoding of EEG Signals
por: Choi, Minsuk, et al.
Publicado: (2024)

FIFO-Diffusion: Generating Infinite Videos from Text without Training
por: Kim, Jihwan, et al.
Publicado: (2024)

Mutually-Aware Feature Learning for Few-Shot Object Counting
por: Jeon, Yerim, et al.
Publicado: (2024)

Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation
por: Lee, Mingyu, et al.
Publicado: (2024)

VLM-HOI: Vision Language Models for Interpretable Human-Object Interaction Analysis
por: Kang, Donggoo, et al.
Publicado: (2024)

Personalized Reward Modeling for Text-to-Image Generation
por: Lee, Jeongeun, et al.
Publicado: (2025)

When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection
por: Goodge, Adam, et al.
Publicado: (2024)

Diminishing Stereotype Bias in Image Generation Model using Reinforcemenlent Learning Feedback
por: Chen, Xin, et al.
Publicado: (2024)

Mitigating Bias with Words: Inducing Demographic Ambiguity in Face Recognition Templates by Text Encoding
por: Chettaoui, Tahar, et al.
Publicado: (2025)

DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models
por: Chae, Daewon, et al.
Publicado: (2025)

Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion
por: Kim, Sanghyun, et al.
Publicado: (2024)

Semantic Guidance Tuning for Text-To-Image Diffusion Models
por: Kang, Hyun, et al.
Publicado: (2023)

Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models
por: Kim, Sanghyun, et al.
Publicado: (2024)

OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
por: D'Incà, Moreno, et al.
Publicado: (2024)

Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization
por: Park, Jihwan, et al.
Publicado: (2025)

BiasICL: In-Context Learning and Demographic Biases of Vision Language Models
por: Xu, Sonnet, et al.
Publicado: (2025)

Exploring Bias in over 100 Text-to-Image Generative Models
por: Vice, Jordan, et al.
Publicado: (2025)

Demographic and Linguistic Bias Evaluation in Omnimodal Language Models
por: Elobaid, Alaa
Publicado: (2026)

Having Second Thoughts? Let's hear it
por: Lee, Jung H., et al.
Publicado: (2023)

Geometrical Properties of Text Token Embeddings for Strong Semantic Binding in Text-to-Image Generation
por: Seo, Hoigi, et al.
Publicado: (2025)

DemoBias: An Empirical Study to Trace Demographic Biases in Vision Foundation Models
por: Sufian, Abu, et al.
Publicado: (2025)

Implicit Bias Injection Attacks against Text-to-Image Diffusion Models
por: Huang, Huayang, et al.
Publicado: (2025)

UNCAGE: Contrastive Attention Guidance for Masked Generative Transformers in Text-to-Image Generation
por: Kang, Wonjun, et al.
Publicado: (2025)

Auditing Gender Presentation Differences in Text-to-Image Models
por: Zhang, Yanzhe, et al.
Publicado: (2023)

FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models
por: Luo, Hanjun, et al.
Publicado: (2024)

Local Representative Token Guided Merging for Text-to-Image Generation
por: Lee, Min-Jeong, et al.
Publicado: (2025)

What Users Leave Unsaid: Under-Specified Queries Limit Vision-Language Models
por: Choi, Dasol, et al.
Publicado: (2026)

Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models
por: Jang, Sangwon, et al.
Publicado: (2024)

KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis
por: Lee, Youngwan, et al.
Publicado: (2023)

How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions
por: Li, Jeng-Lin, et al.
Publicado: (2025)

PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation
por: Lee, Minjae, et al.
Publicado: (2026)

When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image Detection
por: Kim, Jihyeon, et al.
Publicado: (2026)

More Distinctively Black and Feminine Faces Lead to Increased Stereotyping in Vision-Language Models
por: Lee, Messi H. J., et al.
Publicado: (2024)

How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects
por: Lee, Wonkwang, et al.
Publicado: (2025)

Membership Inference Test: Auditing Training Data in Object Classification Models
por: Mancera, Gonzalo, et al.
Publicado: (2026)

When Cultures Meet: Multicultural Text-to-Image Generation
por: Bhalerao, Parth, et al.
Publicado: (2025)