Abstract: This application discloses an image processing method, a method for training a limb part image prediction model, an apparatus, a computer device, a computer-readable storage medium, and a computer program product. The method includes: obtaining a first limb image, the first limb image being an image from a first perspective; calling a feature encoding network to perform image encoding on the first limb image, to obtain a fused feature representation of each of at least two query points on a limb object, an nth fused feature representation indicating a feature representation of an image region with symmetry in a physiological structure; calling a decoding network to perform feature decoding on fused feature representations of the at least two query points, to obtain decoded features; and performing rendering based on the decoded features to obtain a second limb image, the second limb image being image information from a second perspective.

Abstract: This application discloses a posture data completion method for a three-dimensional object performed by a computer device. The method includes: obtaining three-dimensional incomplete posture data of a three-dimensional object in a preset posture, wherein the three-dimensional incomplete posture data includes first three-dimensional joint point data of the three-dimensional object; generating a two-dimensional posture image of the three-dimensional object in the preset posture by applying the three-dimensional incomplete posture data and a posture description text to a text-to-image model of the preset posture; performing joint point recognition on the two-dimensional posture image to obtain second three-dimensional joint point data of the three-dimensional object; and combining the second three-dimensional joint point data and the three-dimensional incomplete posture data to obtain three-dimensional complete posture data of the three-dimensional object.

Abstract: Embodiments of this application provide a data processing method and apparatus, an electronic device, and a computer-readable storage medium. The method includes obtaining a target video of a target object; determining three-dimensional attitude angles of target joint points of the target object in each frame of image of the target video, and first three-dimensional coordinates of a first joint point and a second joint point corresponding to each frame of image in a first coordinate system corresponding to a virtual object; determining a displacement deviation of the second joint point; correcting the first three-dimensional coordinates of the first joint point according to the first three-dimensional coordinates and the historical three-dimensional coordinates of the second joint point to obtain a target three-dimensional coordinates of the first joint point; and determining a three-dimensional attitude of the virtual object.

Abstract: This application disclose a method for changing an outfit of a virtual object in a virtual scene performed by a computer device. The method includes: segmenting an outfit image of a target outfit from an image of a real object wearing the target outfit; obtaining a first image of the virtual object from a first video of the virtual object, the first video including an action of the virtual object driven by a three-dimensional posture parameter of the real object in a real world; and filling a wearing region in the first image of the virtual object with the outfit image, to obtain an image of the virtual object wearing the target outfit in the virtual scene.

Abstract: Embodiments of this application provide a data processing method and apparatus, an electronic device, and a computer-readable storage medium. The method includes obtaining a target video of a target object; determining three-dimensional attitude angles of target joint points of the target object in each frame of image of the target video, and first three-dimensional coordinates of a first joint point and a second joint point corresponding to each frame of image in a first coordinate system corresponding to a virtual object; determining a displacement deviation of the second joint point; correcting the first three-dimensional coordinates of the first joint point according to the first three-dimensional coordinates and the historical three-dimensional coordinates of the second joint point to obtain a target three-dimensional coordinates of the first joint point; and determining a three-dimensional attitude of the virtual object.