Generative reconstruction has emerged as a promising paradigm for reconstructing continuous physical fields from sparse measurements by learning data-driven physical priors

Generative reconstruction has recently emerged as a promising paradigm for this task by learning data-driven physical priors that complete plausible full fields from limited observations.

http://arxiv.org/abs/2608.26219v1