Abstract: Systems and techniques are described herein for generating an image. For instance, a method for generating an image is provided. The method may include obtaining a first image including a first subject and a second subject; obtaining a second image including the first subject and the second subject; determining a gaze of the first subject in the first image; and maintaining the first subject in the second image based on the gaze of the first subject and removing the second subject from the second image.

Abstract: A device includes one or more processors configured to detect, during a communication session that includes an audio component and a video component, that the audio component includes particular speech of a participant of the communication session. The one or more processors are further configured to detect that the video component includes an object that is associated with the particular speech. The one or more processors are further configured to update the video component to apply a visual indicator to the object, the visual indicator including at least one of a pointer indicator, a text effect, or highlighting.

Abstract: A device includes one or more processors configured to obtain an audio stream and to detect one or more keywords in the audio stream. The one or more processors are also configured to adaptively classify one or more objects associated with the one or more keywords. The one or more processors are further configured to insert the one or more objects into a video stream.

Abstract: Systems, methods, and non-transitory media are provided for adjusting a posture of a subject being photographed. An example method can include obtaining, via a camera of a mobile device, an image depicting a subject posing in a first posture; determining a match between the first posture of the subject depicted in the image and a second posture from a set of stored user postures; and based on the match, generating a recommendation indicating one or more suggested adjustments to the first posture of the subject, the one or more suggested adjustments being estimated to increase a matching amount between the first posture of the subject and the second posture from the set of stored user postures.

Abstract: Systems, methods, and non-transitory media are provided for adjusting a posture of a subject being photographed. An example method can include obtaining, via a camera of a mobile device, an image depicting a subject posing in a first posture; determining a match between the first posture of the subject depicted in the image and a second posture from a set of stored user postures; and based on the match, generating a recommendation indicating one or more suggested adjustments to the first posture of the subject, the one or more suggested adjustments being estimated to increase a matching amount between the first posture of the subject and the second posture from the set of stored user postures.

Abstract: Systems, methods, and non-transitory media are provided for adjusting a posture of a subject being photographed. An example method can include obtaining, via a camera of a mobile device, an image depicting a subject posing in a first posture; determining a match between the first posture of the subject depicted in the image and a second posture from a set of stored user postures; and based on the match, generating a recommendation indicating one or more suggested adjustments to the first posture of the subject, the one or more suggested adjustments being estimated to increase a matching amount between the first posture of the subject and the second posture from the set of stored user postures.