Accelerated Diffusion Models: From Theory to Interactive World Models

Diffusion models and flow-based methods have revolutionized generative learning in the visual domain, setting new standards for image, video, and 3D content creation. However, as the field shifts toward interactive applications—such as real-time editing, world models, and embodied AI—the need for low-latency feedback has become critical. Currently, the high computational cost of iterative sampling hinders real-world deployment. While various acceleration techniques exist, the lack of a unified resource makes it difficult to bridge the gap between theory and practice.