Search results for "Diffusion Models"

AI Paper Review: Gradients for Generative Modeling

This paper introduced score-based generative modeling, a paradigm shift to estimating local gradients of the data distribution. Leveraging Noise Conditional Score Networks and annealed Langevin dynamics, it offered a stable, tractable alternative to GANs and likelihood models, laying the foundation for modern diffusion models.