Abstract: Implementations described herein relate to methods, systems, and computer-readable media to generate animations for a 3D avatar from input video captured at a client device. A camera may capture video of a face while a trained face detection model and a trained regression model output a set of FACS weights, head poses, and facial landmarks to be translated into the animations of the 3D avatar. Additionally, a higher level-of-detail may be intelligently selected based upon user preferences and/or computing conditions at the client device.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to generate animations for a 3D avatar from input video and audio captured at a client device. A camera may capture video of a face while a trained face detection model and a trained regression model output a set of video FACS weights, head poses, and facial landmarks to be translated into the animations of the 3D avatar. Additionally, a microphone may capture audio uttered by a user while a trained facial movement detection model and a trained regression model output a set of audio FACS weights. Additionally, a blending term is provided for identification of lapses in audio. A modularity mixing component fuses the video FACS weights and the audio FACS weights based on the blending term to create final FACS weights for animating the user's avatar, a character rig, or another animation-capable construct.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to generate animations for a 3D avatar from input video captured at a client device. A camera may capture video of a face while a trained face detection model and a trained regression model output a set of FACS weights, head poses, and facial landmarks to be translated into the animations of the 3D avatar. Additionally, a higher level-of-detail may be intelligently selected based upon user preferences and/or computing conditions at the client device.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to generate animations for a 3D avatar from input video captured at a client device. A camera may capture video of a face while a trained face detection model and a trained regression model output a set of FACS weights, head poses, and facial landmarks to be translated into the animations of the 3D avatar. Additionally, a higher level-of-detail may be intelligently selected based upon user preferences and/or computing conditions at the client device.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to generate animations for a 3D avatar from input video captured at a client device. A camera may capture video of a face while a trained face detection model and a trained regression model output a set of FACS weights, head poses, and facial landmarks to be translated into the animations of the 3D avatar. Additionally, a higher level-of-detail may be intelligently selected based upon user preferences and/or computing conditions at the client device.