Data processing method and apparatus for virtual avatar, electronic device, and medium

A model training method, comprising:

• obtaining a first target image comprising a face of a target object and a first label image;
• performing facial keypoint extraction on the first target image to obtain a first facial keypoint image;
• obtaining, based on the first facial keypoint image and a preset set of expression bases, a first set of expression coefficients corresponding to the first facial keypoint image, wherein the first set of expression coefficients are in one-to-one correspondence with the set of expression bases;
• adjusting a corresponding expression coefficient in the first set of expression coefficients to obtain a second set of expression coefficients corresponding to the first target image that has undergone a facial expression transformation;
• obtaining a second facial keypoint image based on the second set of expression coefficients and the preset set of expression bases;
• obtaining, through a video generation model based on the second facial keypoint image and the first target image, a first image corresponding to the target image that has undergone the facial expression transformation;
• determining a first loss value by using a preset loss function based on the first image and the first label image;
• and
• adjusting a parameter value of the video generation model based on the first loss value.

An electronic device, comprising:

• a memory storing one or more programs configured to be executed by one or more processors, the one or more programs including instructions for performing operations comprising:
• obtaining a target image comprising a face of a target object;
• performing facial keypoint extraction on the target image to obtain a first facial keypoint image;
• obtaining, based on the first facial keypoint image and a preset set of expression bases, a first set of expression coefficients corresponding to the first facial keypoint image, wherein the first set of expression coefficients are in one-to-one correspondence with the set of expression bases;
• adjusting a corresponding expression coefficient in the first set of expression coefficients to obtain a second set of expression coefficients corresponding to the target image that has undergone a facial expression transformation;
• obtaining a second facial keypoint image based on the second set of expression coefficients and the preset set of expression bases;
• and
• obtaining, based on the second facial keypoint image and the target image, a first image corresponding to the target image that has undergone the facial expression transformation.