Brownian Bridge

Brownian Bridge (BB) processes are increasingly used in generative modeling, particularly within diffusion models, to improve image and signal processing tasks. Current research focuses on leveraging BB's properties for efficient and high-quality image-to-image translation, speech enhancement, and other applications by incorporating it into various architectures, including conditional diffusion models and generative adversarial networks. This approach offers advantages in terms of speed, stability, and the generation of more deterministic and consistent outputs compared to traditional diffusion methods, impacting fields ranging from medical imaging to natural language processing.