Abstract: A method and an apparatus of transferring an image, a method of training an image transfer model, a device, and a medium. The method of transferring the image includes: extracting a first attribute feature of a first object and a first shape feature of a target part of the first object respectively according to a first image and a first position information of the target part of the first object in the first image; extracting a first identity feature of a second object contained in a second image; and generating a first transferred image according to the first attribute feature, the first shape feature and the first identity feature, wherein the first transferred image contains the second object having the first attribute feature and the first shape feature.

Abstract: A method, an apparatus, a device and a storage medium for three-dimensional reconstruction are provided. The method may include: acquiring a sequence of RGBD images of a target; determining a set of first three-dimensional key points of the target on each RGBD image for the each RGBD image in the sequence of the RGBD images; transferring the set of the first three-dimensional key points to a camera coordinate system to obtain a set of second three-dimensional key points of the target in the camera coordinate system; calculating an Euler angle of the each RGBD image based on the set of the second three-dimensional key points; selecting an RGBD image based on the Euler angle; and performing three-dimensional reconstruction of the target based on the selected RGBD image to obtain a three-dimensional model of the target.

Abstract: The present disclosure relates to a field of artificial intelligence technology, in particular to a field of computer vision and deep learning technology, and more particularly, a method and an apparatus for changing a hairstyle of a character, a device, and a storage medium are provided. The method includes: determining an original feature vector of an original image containing the character, wherein the character in the original image has an original hairstyle; acquiring a boundary vector associated with the original hairstyle and a target hairstyle based on a hairstyle classification model; determining a target feature vector corresponding to the target hairstyle based on the original feature vector and the boundary vector; and generating a target image containing the character based on the target feature vector, wherein the character in the target image has the target hairstyle.

Abstract: A method, an apparatus, a device and a storage medium for three-dimensional reconstruction are provided. The method may include: acquiring a sequence of RGBD images of a target; determining a set of first three-dimensional key points of the target on each RGBD image for the each RGBD image in the sequence of the RGBD images; transferring the set of the first three-dimensional key points to a camera coordinate system to obtain a set of second three-dimensional key points of the target in the camera coordinate system; calculating an Euler angle of the each RGBD image based on the set of the second three-dimensional key points; selecting an RGBD image based on the Euler angle; and performing three-dimensional reconstruction of the target based on the selected RGBD image to obtain a three-dimensional model of the target.