A WGAN-GP achieves closer spectral alignment and lower MMD than a diffusion model for EEG artifact synthesis, but class-conditional recovery is weak for both.
classification of covariance matrices using riemannian geometry and its application to brain-computer interfaces
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ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis
A WGAN-GP achieves closer spectral alignment and lower MMD than a diffusion model for EEG artifact synthesis, but class-conditional recovery is weak for both.