2026
CO3: CONTRASTING CONCEPTS COMPOSE BETTER
ICLR 2026poster
We propose to improve multi-concept prompt fidelity in text-to-image diffusion models. We begin with common failure cases—prompts like “a cat and a clock” that sometimes yields images where one concept is missing, faint, or colliding awkwardly with another. We hypothesize that this happens when the…