公开(公告)号：US20240290022A1

公开(公告)日：2024-08-29

申请号：US18176267

申请日：2023-02-28

Applicant: ADOBE INC.

Inventor： Yijun LI ,  Yannick HOLD-GEOFFROY ,  Manuel Rodriguez Ladron DE GUEVARA ,  Jose Ignacio Echevarria VALLESPI ,  Daichi ITO ,  Cameron Younger SMITH

IPC: G06T13/40 ,  G06N3/0455 ,  G06N3/0895

CPC classification number: G06T13/40 ,  G06N3/0455 ,  G06N3/0895

Abstract: Avatar generation from an image is performed using semi-supervised machine learning. An image space model undergoes unsupervised training from images to generate latent image vectors responsive to image inputs. An avatar parameter space model undergoes unsupervised training from avatar parameter values for avatar parameters to generate latent avatar parameter vectors responsive to avatar parameter value inputs. A cross-modal mapping model undergoes supervised training on image-avatar parameter pair inputs corresponding to the latent image vectors and the latent avatar parameter vectors. The trained image space model generates a latent image vector from an image input. The trained cross-modal mapping model translates the latent image vector to a latent avatar parameter vector. The trained avatar parameter space model generates avatar parameter values from the latent avatar parameter vector. The latent avatar parameter vector can be used to render an avatar having features corresponding to the input image.