Mind-Video
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About
Mind-Video is an AI tool that reconstructs high-quality videos from human brain activity using fMRI data. It employs a two-module pipeline: an fMRI encoder and an augmented stable diffusion model. The model learns spatiotemporal information from continuous fMRI data through masked brain modeling, multimodal contrastive learning, spatiotemporal attention, and co-training with an augmented Stable Diffusion model. It progressively learns brain features and recovers videos with accurate semantics, motions, and scene dynamics. The tool demonstrates biologically plausible and interpretable results, mapping to the visual cortex and higher cognitive networks.
Platform
Task
Features
• co-training with an augmented stable diffusion model
• learns spatiotemporal information from fmri data
• video reconstruction from brain activity
• progressive learning scheme for brain features
• fmri encoder and an augmented stable diffusion model pipeline
• spatiotemporal attention
• multimodal contrastive learning
• masked brain modeling
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