DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Models

Documenti analoghi

• Creo: From One-Shot Image Generation to Progressive, Co-Creative Ideation
  di: De Simone, Zoe, et al.
  Pubblicazione: (2026)
• Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships
  di: Boggust, Angie, et al.
  Pubblicazione: (2024)
• TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models
  di: Chinchure, Aditya, et al.
  Pubblicazione: (2023)
• Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models
  di: Li, Boheng, et al.
  Pubblicazione: (2024)
• Generated Bias: Auditing Internal Bias Dynamics of Text-To-Image Generative Models
  di: Mandal, Abhishek, et al.
  Pubblicazione: (2024)