Artificial Intelligence, Machine Learning, Diffusion Models, Optimal Transport, Neural Networks.
Bures-Wasserstein metric. Qualitative comparison of ground truth samples with samples produced by ⌈ENOT⌋ solver. With the increase of the model’s parameter ϵ, the diversity increases but the precision of image restoration drops We found that most solvers’ performance significantly depends on the