Sample Dataset and Trained Model Parameters for Back-Projection Diffusion

We have uploaded a sample dataset for training and testing Back-Projection Diffusion. Trained model parameters for the dataset are also provided in tmp.zip.For a formal description of the dataset, please refer to our preprint:Borong Zhang, Martín Guerra, Qin Li, and Leonardo Zepeda-Núñez. "Back-Projection Diffusion: Solving the Wideband Inverse Scattering Problem with Diffusion Models." arXiv preprint arXiv:2408.02866 (2024).In 10hsquares_trainingdata and 10hsquares_testdata, perturbations are stored as eta.h5 with the following structure:eta.h5/      ├── /etaThe scattering data are stored as scatter.h5, or as scatter_order_n.h5 (n indicates the order of the stencil used for data generation) with the following structure:scatter.h5/      ├── /scatter_imag_freq_1      ├── /scatter_real_freq_1      ├── /scatter_imag_freq_2      ├── /scatter_real_freq_2      ├── /scatter_imag_freq_3      ├── /scatter_real_freq_3The tmp folder contains the trained model parameters.For usage instructions, please refer to our GitHub repository:https://github.com/borongzhang/back_projection_diffusion