2026
HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models
AAAI 2026technical
Generative diffusion models show promise for data augmentation. However, applying them to fine-grained tasks presents a significant challenge: ensuring synthetic images accurately capture the subtle, category-defining features critical for high fidelity. Standard approaches, such as text-based Class