AI RESEARCH
Brain-Grasp: Graph-based Saliency Priors for Improved fMRI-based Visual Brain Decoding
arXiv CS.CV
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ArXi:2604.10617v1 Announce Type: cross Recent progress in brain-guided image generation has improved the quality of fMRI-based reconstructions; however, fundamental challenges remain in preserving object-level structure and semantic fidelity. Many existing approaches overlook the spatial arrangement of salient objects, leading to conceptually inconsistent outputs. We propose a saliency-driven decoding framework that employs graph-informed saliency priors to translate structural cues from brain signals into spatial masks.