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A well-known problem in video conferencing is gaze mismatch. Instead of relying exclusively on online captured data for rendering, a recent work first trains offline dictionaries using a large image database of movie and TV stars to learn "beautiful" features. During real-time conferencing, one can then simultaneously correct gaze and beautify the subject's facial components in single images...
Gaze mismatch is a common problem in video conferencing, where the viewpoint captured by a camera (usually located above or below a display monitor) is not aligned with the gaze direction of the human subject, who typically looks at his counterpart in the center of the screen. This means that the two parties cannot converse eye-to-eye, hampering the quality of visual communication. One conventional...
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