DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360{\deg} Images

arXiv:2403.17477v1 Announce Type: new
Abstract: We present DiffGaze, a novel method for generating realistic and diverse continuous human gaze sequences on 360{\deg} images based on a conditional score-based denoising diffusion model. Generating human gaze on 360{\deg} images is important for various human-computer interaction and computer graphics applications, e.g. for creating large-scale eye tracking datasets or for realistic animation of virtual humans. However, existing methods are limited to predicting discrete fixation sequences or aggregated saliency maps, thereby neglecting crucial parts of …

abstract applications arxiv computer computer graphics continuous cs.cv cs.hc denoising diffusion diffusion model diverse graphics human human-computer interaction images novel type