(57) ABSTRACT A training method for an image fusion processing model is provided. The
method includes: obtaining an image set, and compressing the image set, updating a …

Embodiments of this application disclose an image fusion method performed by a computing
device. The method includes the following steps: obtaining source face image data of a …

An image processing method includes performing additional image feature extraction on a
training source face image to obtain a source additional image feature, performing identity …

An image processing method, an electronic device and a computer storage medium are
provided, which relates to the fields of computer vision, augmented reality and artificial …

An apparatus for training a classification model includes: a feature extraction unit configured
to set, with respect to each training set of a first predetermined number of training sets, a …

An image fusion method and an image processing apparatus are provided. A first image is
generated based on a first photographing parameter, and a second image is generated …

Embodiments of this disclosure include a training method for an image processing model. In
the method, parameters of an encoder in the image processing model are updated …

Disclosed is an image fusion method and apparatus. The fusion method includes detecting
first feature points of an object in a first image frame from the first image frame; transforming …

Provided is a method for processing images. The method can include: acquiring a target
face image, and performing face key point detection on the target face image; acquiring a …

An image fusion method and apparatus and a training method and apparatus for an image
fusion model are provided, which relate to the field of artificial intelligence, and specifically …