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We present GazeDirector, a new approach for eye gaze redirection that usesmodel-fitting. Our method first tracks the eyes by fitting a multi-part eyeregion model to video frames using analysis-by-synthesis, thereby recoveringeye region shape, texture, pose, and gaze simultaneously. It then redirectsgaze by 1) warping the eyelids from the original image using a model-derivedflow field, and 2) rendering and compositing synthesized 3D eyeballs onto theoutput image in a photorealistic manner. GazeDirector allows us to change wherepeople are looking without person-specific training data, and with fullarticulation, i.e. we can precisely specify new gaze directions in 3D.Quantitatively, we evaluate both model-fitting and gaze synthesis, withexperiments for gaze estimation and redirection on the Columbia gaze dataset.Qualitatively, we compare GazeDirector against recent work on gaze redirection,showing better results especially for large redirection angles. Finally, wedemonstrate gaze redirection on YouTube videos by introducing new 3D gazetargets and by manipulating visual behavior.

GazeDirector: Fully Articulated Eye Gaze Redirection in Video