Mind-Video is an innovative AI tool that translates brain activity into high-quality videos. By analyzing functional Magnetic Resonance Imaging (fMRI) data, it reconstructs continuous visual experiences, offering a window into human cognition. This groundbreaking approach bridges the gap between neural signals and dynamic imagery.
The tool employs advanced techniques like masked brain modeling and multimodal contrastive learning with spatiotemporal attention. Additionally, it integrates an augmented Stable Diffusion model to enhance video quality.
Mind-Video has achieved an average accuracy of 85% in semantic classification tasks and a structural similarity index (SSIM) of 0.19, surpassing previous methods by 45%.
