Solving preferred orientation problem by AI algorithms

Dear community,

I found two recently released paper talking about using self-supervised algorithms to solve the preferred orientation problem:

cryoPROS: Addressing preferred orientation in single-particle cryo-EM through AI-generated auxiliary particles

spIsoNet: Resolving the Preferred Orientation Problem in CryoEM Reconstruction with Self-Supervised Deep Learning

Has anyone tried these ways? or any comments on these algorithms? I have a protein showing a little bit of preferred orientation, and I feel these self-supervised algorithms could be the right solution for us.