Brain-to-Image
Free brain-to-image AI tools for converting thoughts into visual content, perfect for artists and designers creating unique imagery.
NeuroPictor can improve fMRI-to-image reconstruction by using fMRI signals to control diffusion models. It is trained on over 67,000 fMRI-image pairs, allowing for better accuracy in generating images that reflect both high-level concepts and fine details.
MindBridge can reconstruct images from fMRI brain signals using a single model that works for different people. It achieves high accuracy even with limited data, making it effective for new subjects.
DreamDiffusion can generate high-quality images from brain EEG signals without needing to translate thoughts into text. It uses pre-trained text-to-image models and special techniques to handle noise and individual differences, making it a key step towards affordable thoughts-to-image technology.
MinD-Vis can create realistic images from brain recordings using a method that combines Sparse Masked Brain Modeling and a Double-Conditioned Latent Diffusion Model. It achieves top performance in understanding thoughts and generating images, surpassing previous results by 66% in semantic mapping and 41% in image quality, while needing very few paired examples.