BigGAN-based Bayesian reconstruction of natural images from human brain activity

13 Mar 2020 Kai Qiao Jian Chen Linyuan Wang Chi Zhang Li Tong Bin Yan

In the visual decoding domain, visually reconstructing presented images given the corresponding human brain activity monitored by functional magnetic resonance imaging (fMRI) is difficult, especially when reconstructing viewed natural images. Visual reconstruction is a conditional image generation on fMRI data and thus generative adversarial network (GAN) for natural image generation is recently introduced for this task... (read more)

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