Abstract: This paper introduces Text-to-Noise Influence Mapping (TNIM), a novel explainability framework for diffusion-based text-to-image models. TNIM combines cross-attention mechanisms with ...

As we venture into 2026, the landscape of technology continues to transform how we organize thoughts and ideas. Concept mapping, a visual representation of information, has become an essential tool in ...

Abstract: Existing Unbiased Scene Graph Generation (USGG) methods only focus on addressing the predicate-level imbalance that high-frequency classes dominate predictions of rare ones, while ...