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cs.CV2025
Benchmarking Diversity in Image Generation via Attribute-Conditional Human Evaluation
Isabela Albuquerque, Ira Ktena, Olivia Wiles +4
Despite advances in generation quality, current text-to-image (T2I) models often lack diversity, generating homogeneous outputs. This work introduces a framework to address the nee…
cs.LG2025
Dynamic Classifier-Free Diffusion Guidance via Online Feedback
Pinelopi Papalampidi, Olivia Wiles, Ira Ktena +5
Classifier-free guidance (CFG) is a cornerstone of text-to-image diffusion models, yet its effectiveness is limited by the use of static guidance scales. This "one-size-fits-all" a…