Abstract: A method for detecting facial key points includes obtaining a face image to be detected, and extracting key point detection information of the face image to be detected; obtaining key point template information of the template face image; determining a facial key point mapping relationship between the face image to be detected and the template face image in combination with the key point detection information and the key point template information; and filtering the key point detection information according to the facial key point mapping relationship and the key point template information to generate target key point information of the face image to be detected, wherein target facial key points in the target key point information are facial key points of an un-block area in the face image to be detected.

Abstract: A method and apparatus for processing character image data are provided. A specific embodiment of the method can include: acquiring a video including character images of a first character as first data, and acquiring a video including character images of a second character as second data, the video including character images of the first character including a plurality of types of movement-state images; replacing a head image extracted from the first data with a head image extracted from the second data; replacing a face extracted from the first data with a face extracted from the second data; and replacing the face in the replaced head image with the replaced face to obtain a target head image.

Abstract: Provided are a video stitching method and an apparatus, an electronic device, and a storage medium. In the video stitching method, an intermediate frame is inserted between a last image frame of a first video and a first image frame of a second video. L image frames are sequentially selected in order from back to front from the first video and L image frames are sequentially selected in order from front to back from the second video separately, and L is a natural number greater than 1. The first video and the second video are stitched together to form a target video according to the intermediate frame, the L image frames in the first video, and the L image frames in the second video.

Abstract: A method for synthesizing a figure of a virtual object includes: obtaining a figure image of the virtual object, and original face images corresponding to a speech segment; extracting a first face key point of the face of the virtual object, and a second face key point of each of the original face images; processing the first face key point to generate a position and posture information of a first three-dimensional 3D face; processing each second face key point to generate vertex information of a second 3D face; generating a target face image corresponding to each original face image based on the position and the posture information of the first 3D face and the vertex information of each second 3D face; and synthesizing a speaking figure segment of the virtual object, corresponding to the speech segment, based on the figure image of the virtual object and each target face image.

Abstract: An image processing method includes: obtaining a first latent code by encoding an image to be edited in a Style (S) space of a Generative Adversarial Network (GAN), in which the GAN is a StyleGAN; encoding the text description information, obtaining a text code of a Contrastive Language-Image Pre-training (CLIP) model, and obtaining a second latent code by mapping the text code on the S space; obtaining a target latent code that satisfies distance requirements by performing distance optimization on the first latent code and the second latent code; and generating a target image based on the target latent code.

Abstract: The present disclosure provides a video blending method, apparatus, electronic device and readable storage medium, and relates to computer vision technologies.

Abstract: A method and apparatus for processing character image data are provided. A specific embodiment of the method can include: acquiring a video including character images of a first character as first data, and acquiring a video including character images of a second character as second data, the video including character images of the first character including a plurality of types of movement-state images; replacing a head image extracted from the first data with a head image extracted from the second data; replacing a face extracted from the first data with a face extracted from the second data; and replacing the face in the replaced head image with the replaced face to obtain a target head image.

Abstract: A method for synthesizing a figure of a virtual object includes: obtaining a figure image of the virtual object, and original face images corresponding to a speech segment; extracting a first face key point of the face of the virtual object, and a second face key point of each of the original face images; processing the first face key point to generate a position and posture information of a first three-dimensional 3D face; processing each second face key point to generate vertex information of a second 3D face; generating a target face image corresponding to each original face image based on the position and the posture information of the first 3D face and the vertex information of each second 3D face; and synthesizing a speaking figure segment of the virtual object, corresponding to the speech segment, based on the figure image of the virtual object and each target face image.

Abstract: The present disclosure provides a video blending method, apparatus, electronic device and readable storage medium, and relates to computer vision technologies.