核心概念
Incorporating isotropy in the objective function enhances fidelity metrics in diffusion probabilistic models.
統計資料
"The plots indicate that the generated samples are much more closely connected and densely packed with the increase of the regularization parameter, λ."
"The expected squared norm of a white gaussian vector in Rn is equal to its dimension, n."
引述
"The variation of the Generated Distribution compared to the Ground Truth Distribution shows the utility of imposing the isotropy constraint based loss function."
"The proposed constraint attempts to latch onto more information-rich dense modes of the desired distribution."