Issue with random nonlinear blur kernel

[z-fabian]

It looks like every time the nonlinear blur operator is called, a new random blur kernel is generated. When calculating the guidance term, the kernel applied to the current posterior mean estimate and the kernel used to generate the measurement are different. Does this not cause an issue with data consistency? I think the kernels should be matched here. Thanks for your reply in advance!

[Morefre]

Same question, have you resolved it?