High-Resolution Image Reconstruction with Latent Diffusion Models from Human Brain Activity

Proposes a new method based on a latent diffusion model (Stable Diffusion) to reconstruct realistic, high-semantic fidelity images from human brain activity obtained via fMRI. This work helps interpret the connection between computer vision models and the visual system.