Enhancing Diffusion Models: The Role of Sparsity and Regularization in Efficient Generative AI
Diffusion models have emerged as a crucial generative AI framework, excelling in tasks such as image synthesis, video generation, text-to-image translation, and molecular design. These models function through two stochastic processes: a forward process that incrementally adds noise to data, converting it into Gaussian noise, and a reverse process that reconstructs samples by learning to […] The post Enhancing Diffusion Models: The Role of Sparsity and Regularization in Efficient Generative AI appeared first on MarkTechPost. read more