2025
UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
NeurIPS 2025poster
Data augmentation using generative models has emerged as a powerful paradigm for enhancing performance in computer vision tasks. However, most existing augmentation approaches primarily focus on optimizing intrinsic data attributes -- such as fidelity and diversity -- to generate visually high-quali…