Back to search

Article

High-resolution image reconstruction with latent diffusion models from human brain activity

2022-11-21

Abstract excerpt

Reconstructing visual experiences from human brain activity offers a unique way to understand how the brain represents the world, and to interpret the connection between computer vision models and our visual system. While deep generative models have recently been employed for this task, reconstructing realistic images with high semantic fidelity is still a challenging problem. Here, we propose a new method based o...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
de76ee0c-ff47-5afd-868d-af395dad7d37
DOI
10.1101/2022.11.18.517004
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
High-resolution image reconstruction with latent diffusion models from human brain activityDOI 10.1101/2022.11.18.517004
Select a neighboring publication to make it the new centre.