DynT2I-Eval: A Dynamic Evaluation Framework for Text-to-Image Models
arXiv:2605.06170v1 Announce Type: new
Abstract: Existing text-to-image (T2I) benchmarks largely rely on fixed prompt sets, leaving them vulnerable to overfitting and benchmark contamination once publicly released and repeatedly reused. In this work, w…