Enhancing generalization in non-uniformly sampled NMR spectra reconstruction via accelerated conditional diffusion models
An accelerated conditional diffusion model for multidimensional NMR spectra reconstruction is presented, formulating the task as a probabilistic iterative denoising process that progressively refines undersampled spectra under physical constraints and outperforms both traditional and end-to-end deep learning algorithms...