First-Order Polynomial Images

The dataset used in the paper is a set of true images and simulated images produced by a custom simulation technique. The true images are experimental data images, and the simulated images are produced by the simulation using default model parameter values. The dataset is used to evaluate the performance of the model-assisted GAN in producing physically motivated manipulations of the simulated images through variation of underlying model parameters.

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Cite this as

Saúl Alonso-Monsalve, Leigh H. Whitehead (2024). Dataset: First-Order Polynomial Images. https://doi.org/10.57702/tytmajvn

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.1109/TNNLS.2020.2969327
Author Saúl Alonso-Monsalve
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Leigh H. Whitehead
Homepage https://gitlab.cern.ch/salonsom/model-assisted-gan