Composite Diffusion

Composite diffusion methods are emerging as powerful tools for generating complex data, particularly in image and video synthesis. Current research focuses on developing compositional models that leverage diffusion processes to combine smaller, independently generated components into coherent wholes, addressing limitations of existing methods in handling intricate spatial and temporal relationships. These advancements are improving the quality and controllability of generated content, with applications ranging from artistic creation and robotic planning to solving complex optimization problems. The ability to compose complex outputs from simpler parts promises significant impact across various fields requiring high-fidelity data generation and manipulation.