This project aims to provide users with an effective tool for synthesizing personal subjects (animals, objects) in different contexts. While general text-to-image models might be biased towards specific attributes when synthesizing images from text, our approach enables the user to get a better reconstruction of their desirable subjects. On contrary, malicious parties might try to use such images to mislead viewers. This is a common issue, existing in other generative models approaches or content manipulation techniques. Future research in generative modeling, and specifically of personalized generative priors, must continue investigating and revalidating these concerns.
Our method has the potential for negative impact if used to create deepfakes. Using voice cloning, a malicious actor can create videos enabling identity theft or dissemination of fake news. However, in controlled settings, SPACEx can be used for positive creative purposes.