2 papers
cs.CV2026
SAGA: Learning Signal-Aligned Distributions for Improved Text-to-Image Generation
Paul Grimal, Michaël Soumm, Hervé Le Borgne +2
State-of-the-art text-to-image models produce visually impressive results but often struggle with precise alignment to text prompts, leading to missing critical elements or uninten…
cs.CV2025
Text-to-Image Alignment in Denoising-Based Models through Step Selection
Paul Grimal, Hervé Le Borgne, Olivier Ferret
Visual generative AI models often encounter challenges related to text-image alignment and reasoning limitations. This paper presents a novel method for selectively enhancing the s…