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Found 3 papers, 2 papers with code
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models
In the original formulation of the diffusion model, this vector field is assumed to be the score function (i. e. it is the gradient of the log-probability at a given time in the diffusion process).
Denoising Normalizing Flow
Here we propose a novel method - called Denoising Normalizing Flow (DNF) - that estimates the density on the low-dimensional manifold while learning the manifold as well.
Density estimation on low-dimensional manifolds: an inflation-deflation approach
We also show that, if the embedding dimension is much larger than the manifold dimension, noise in the normal space can be well approximated by Gaussian noise.
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