Artificial Intelligence #game-theory#diffusion-models
Divide-and-Denoise: Game-Theoretic Method Ensures Fair Composition of Diffusion Models
Researchers propose Divide-and-Denoise, a game-theoretic method for composing multiple pre-trained diffusion models fairly. At each timestep, an allocation divides the noisy sample into regions, maximizing utility under fairness constraints. The method outperforms baselines on the GenEval benchmark, resolving common failures like missing objects and mismatched attributes.
Jun 16, 2026 1 source