AI RESEARCH
Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade
arXiv CS.AI
•
ArXi:2512.01572v3 Announce Type: replace-cross Extreme sensor sparsity makes full-field reconstruction a fundamentally ill-posed problem in scientific sensing,where the goal is to infer physical fields from sparse measurements. In this regime,the posterior is severely underconstrained and inherently multimodal,making its approximation highly ill-conditioned.