Bayesian Flow Networks: A Paradigm Shift in Generative Modeling
Generative modeling has undergone a transformative journey in recent times, thanks to the emergence of powerful neural networks. These networks possess an unprecedented ability to capture intricate relationships among diverse variables, revolutionizing our capacity to create coherent models for high-resolution images and complex data. This shift is attributed to the art of decomposing joint distributions […]