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Elastic Source Imaging with Sparse Data
The dataset used in this paper for elastic source imaging with very sparse data, both in space and time. -
Phase Retrieval and Optical Diffraction Tomography Datasets
The dataset used in this paper for phase retrieval and optical diffraction tomography. -
Deep Convolutional Neural Network for Inverse Problems in Imaging
A dataset for Deep Convolutional Neural Network for Inverse Problems in Imaging -
LoDoPaB-CT
LoDoPaB-CT -
Poisson Inverse Problems
The dataset used in this paper is Poisson inverse problems involving the Poisson data-fidelity term f introduced in (2). -
Blind Hierarchical Deconvolution
The dataset used in the paper is a blind hierarchical deconvolution problem, where the goal is to deconvolve a signal from its noisy measurements. The dataset consists of four... -
Inverse resolution of spatially varying diffusion coefficient using Physics-I...
The dataset used in the paper is a collection of spatio-temporal information of the diffused passive scalar, with spatially varying diffusion coefficient. -
Bayesian Conditioned Diffusion Models for Inverse Problems
Diffusion models have recently been shown to excel in many image reconstruction tasks that involve inverse problems based on a forward measurement operator. -
Earth-Scale Seismic Inversion Dataset
The dataset used in this paper for seismic inversion, containing 3 source locations in the Northern Hemisphere, with 3 components of the velocity vector field and 3 diagonal... -
Seismic Inversion Dataset
The dataset used in this paper for seismic inversion, containing 5 sources and 130 receivers, with 3 components of the velocity vector field and 3 diagonal components of the...
