Update README.md

Author: helblazer811

README.md

@@ -4,7 +4,7 @@ This is a repository for my work on the paper ["Oracle Guided Image Synthesis wi
 
 Link: https://openreview.net/forum?id=rNh4AhVdPW5
 
-Isolating and controlling specific features in the outputs of generative models in a user-friendly way is a difficult and open-ended problem. We develop techniques that allow a user (oracle) to generate an image they are envisioning in their head by answering a sequence of relative queries of the form \textit{``do you prefer image $a$ or image $b$?''} Our framework consists of a Conditional VAE that uses the collected relative queries to partition the latent space into preference-relevant features and non-preference-relevant features. We then use the user's responses to relative queries to determine the preference-relevant features that correspond to their envisioned output image. Additionally, we develop techniques for modeling the uncertainty in images' predicted preference-relevant features, allowing our framework to generalize to scenarios in which the relative query training set contains noise.
+Isolating and controlling specific features in the outputs of generative models in a user-friendly way is a difficult and open-ended problem. We develop techniques that allow a user (oracle) to generate an image they are envisioning in their head by answering a sequence of relative queries of the form **<em>"do you prefer image a or image b?"</em>** Our framework consists of a Conditional VAE that uses the collected relative queries to partition the latent space into preference-relevant features and non-preference-relevant features. We then use the user's responses to relative queries to determine the preference-relevant features that correspond to their envisioned output image. Additionally, we develop techniques for modeling the uncertainty in images' predicted preference-relevant features, allowing our framework to generalize to scenarios in which the relative query training set contains noise.
 
 https://user-images.githubusercontent.com/14181830/165658872-849b34f5-7a78-41a0-8028-a84732980114.mp4