AI RESEARCH
Structure-Guided Diffusion Model for EEG-Based Visual Cognition Reconstruction
arXiv CS.CV
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ArXi:2604.22649v1 Announce Type: cross Objective: Decoding visual information from electroencephalography (EEG) is an important problem in neuroscience and brain-computer interface (BCI) research. Existing methods are largely restricted to natural images and categorical representations, with limited capacity to capture structural features and to differentiate objective perception from subjective cognition. We propose a Structure-Guided Diffusion Model (SGDM) that incorporates explicit structural information for EEG-based visual reconstruction.