Abstract: An image synthesis system includes a computing platform having a hardware processor and a system memory storing a software code including a neural encoder and multiple neural decoders each corresponding to a respective persona. The hardware processor executes the software code to receive target image data, and source data that identifies one of the personas, and to map the target image data to its latent space representation using the neural encoder. The software code further identifies one of the neural decoders for decoding the latent space representation of the target image data based on the persona identified by the source data, uses the identified neural decoder to decode the latent space representation of the target image data as the persona identified by the source data to produce a swapped image data, and blends the swapped image data with the target image data to produce one or more synthesized images.

Abstract: An image synthesis system includes a computing platform having a hardware processor and a system memory storing a software code including a neural encoder and multiple neural decoders each corresponding to a respective persona. The hardware processor executes the software code to receive target image data, and source data that identifies one of the personas, and to map the target image data to its latent space representation using the neural encoder. The software code further identifies one of the neural decoders for decoding the latent space representation of the target image data based on the persona identified by the source data, uses the to identified neural decoder to decode the latent space representation of the target image data as the persona identified by the source data to produce a swapped image data, and blends the swapped image data with the target image data to produce one or more synthesized images.

Abstract: A method and an apparatus of tracking an eye gaze to determine where a gaze point of a user is located on a display unit of a device, based on a facial pose and a position of an iris center, are provided. The method includes detecting a facial feature in a captured initial image, three-dimensionally modeling the detected facial feature, tracking the three-dimensionally modeled facial feature in consecutively captured images, detecting an iris center in the consecutively captured images, acquiring an eye gaze vector based on the tracked three-dimensionally modeled facial feature and the detected iris center, and acquiring a gaze point on a display unit based on the eye gaze vector.

Abstract: A method and an apparatus of tracking an eye gaze to determine where a gaze point of a user is located on a display unit of a device, based on a facial pose and a position of an iris center, are provided. The method includes detecting a facial feature in a captured initial image, three-dimensionally modeling the detected facial feature, tracking the three-dimensionally modeled facial feature in consecutively captured images, detecting an iris center in the consecutively captured images, acquiring an eye gaze vector based on the tracked three-dimensionally modeled facial feature and the detected iris center, and acquiring a gaze point on a display unit based on the eye gaze vector.

Abstract: A method and an apparatus of tracking an eye gaze to determine where a gaze point of a user is located on a display unit of a device, based on a facial pose and a position of an iris center, are provided. The method includes detecting a facial feature in a captured initial image, three-dimensionally modeling the detected facial feature, tracking the three-dimensionally modeled facial feature in consecutively captured images, detecting an iris center in the consecutively captured images, acquiring an eye gaze vector based on the tracked three-dimensionally modeled facial feature and the detected iris center, and acquiring a gaze point on a display unit based on the eye gaze vector.

Abstract: A method and an apparatus of tracking an eye gaze to determine where a gaze point of a user is located on a display unit of a device, based on a facial pose and a position of an iris center, are provided. The method includes detecting a facial feature in a captured initial image, three-dimensionally modeling the detected facial feature, tracking the three-dimensionally modeled facial feature in consecutively captured images, detecting an iris center in the consecutively captured images, acquiring an eye gaze vector based on the tracked three-dimensionally modeled facial feature and the detected iris center, and acquiring a gaze point on a display unit based on the eye gaze vector.