Abstract: An image processing method and an image processing apparatus are provided. The method includes: acquiring a first image including an image of a target person and a second image including an image of target clothes; generating, based on image features of the first image and image features of the second image, a target appearance flow feature for representing deformation of the target clothes matching a body of the target person, and generating, based on the target appearance flow feature, a deformed image of the target clothes matching the body; and generating a virtual dress-up image, in which the target person wears the target clothes matching the body, by fusing the deformed image with the first image.

Abstract: Target matching method and apparatus, electronic device, and storage medium, including: extracting feature vector of each frame in query image sequence and feature vector of each frame in candidate image sequence; determining self-expression feature vector of query image sequence, collaborative expression feature vector of the query image sequence, self-expression feature vector of candidate image sequence, and collaborative expression feature vector of candidate image sequence based on feature vector of each frame in query image sequence and feature vector of each frame in candidate image sequence; determining similarity feature vector between query image sequence and candidate image sequence based on self-expression feature vector of query image sequence, collaborative expression feature vector of query image sequence, self-expression feature vector of candidate image sequence, and collaborative expression feature vector of candidate image sequence; and determining matching result between query image sequen

Abstract: A neural network training method and apparatus and an image matching method and apparatus are provided. The neural network training method at least includes: labeling annotation information of a first clothing instance and a second clothing instance, where the first clothing instance and the second clothing instance are respectively from a first clothing image and a second clothing image; pairing the first clothing image and the second clothing image in response to a state of matching between the first clothing instance and the second clothing instance; and training a neural network to be trained based on the paired first clothing image and second clothing image.

Abstract: Target matching method and apparatus, electronic device, and storage medium, including: extracting feature vector of each frame in query image sequence and feature vector of each frame in candidate image sequence; determining self-expression feature vector of query image sequence, collaborative expression feature vector of the query image sequence, self-expression feature vector of candidate image sequence, and collaborative expression feature vector of candidate image sequence based on feature vector of each frame in query image sequence and feature vector of each frame in candidate image sequence; determining similarity feature vector between query image sequence and candidate image sequence based on self-expression feature vector of query image sequence, collaborative expression feature vector of query image sequence, self-expression feature vector of candidate image sequence, and collaborative expression feature vector of candidate image sequence; and determining matching result between query image sequen