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We present a method for reconstructing images viewed by observers based onlyon their eye movements. By exploring the relationships between gaze patternsand image stimuli, the "What Are You Looking At?" (WAYLA) system learns tosynthesize photo-realistic images that are similar to the original picturesbeing viewed. The WAYLA approach is based on the Conditional GenerativeAdversarial Network (Conditional GAN) image-to-image translation technique ofIsola et al. We consider two specific applications - the first, ofreconstructing newspaper images from gaze heat maps, and the second, ofdetailed reconstruction of images containing only text. The newspaper imagereconstruction process is divided into two image-to-image translationoperations, the first mapping gaze heat maps into image segmentations, and thesecond mapping the generated segmentation into a newspaper image. We validatethe performance of our approach using various evaluation metrics, along withhuman visual inspection. All results confirm the ability of our network toperform image generation tasks using eye tracking data.

WAYLA - Generating Images from Eye Movements