Abstract: The present disclosure provides a virtual image generation method and apparatus, an electronic device and a storage medium, and relates to the field of artificial intelligence technologies such as augmented reality, computer vision and deep learning. A specific implementation scheme involves: acquiring base coefficients corresponding to key points of a target face based on a target face picture; generating a structure of a virtual image of the target face based on a mapping relationship of spatial alignment between a preset virtual model and a standard model, a base of the standard model and the base coefficients corresponding to the key points of the target face; and performing texture filling on the structure of the virtual image based on textures of the target face picture, to obtain the virtual image of the target face.

Abstract: The present application discloses a method for operating a component, an electronic device, a storage medium and a program product, relating to the field of artificial intelligence technology, such as, the computer vision technology, the image processing technology and the augmented reality technology, the method includes: in response to a drawing operation on an operable component in a three-dimensional virtual space, displaying a drawn two-dimensional pattern on the operable component; in response to a model generating operation on the operable component, processing the two-dimensional pattern to generate a three-dimensional model; and displaying the three-dimensional model in the three-dimensional virtual space. In the solution provided by the present disclosure, an operable component which may be applied in a virtual space is provided, and a user may draw a pattern in the operable component, thus enabling a system to generate a three-dimensional model corresponding to the pattern.

Abstract: Provided are a method and an apparatus for determining a skeletal driving coefficient, an electronic device, and a readable storage medium, and relates to the field of image processing technologies, and in particular, to the field of artificial intelligence or augmented reality technologies. A method includes driving a deformation, based on an initial skeletal driving coefficient, on an initial skin-skeleton model to obtain a first skinned skeleton model; and in response to a difference between the first skinned skeleton model and a target skinned skeleton model does not meet a threshold, performing at least one deformation on the first skinned skeleton model until a second skinned skeleton model, the difference between which model and the target skinned skeleton model meets the condition on the difference, is obtained, and obtaining at least one target skeletal driving coefficient used for driving the at least one deformation.

Abstract: A face image processing method, an electronic device and a storage medium are provided, which relate to the technical fields of image processing, augmented reality, computer vision, deep learning and the like. The method includes: acquiring a three-dimensional face model of a to-be-processed face image, the three-dimensional face model comprising a plurality of grid nodes; determining a to-be-transformed area of the three-dimensional face model; acquiring a rigid transformation relationship between a standard three-dimensional face model and a standard stylized face model; and processing the to-be-transformed area based on the rigid transformation relationship, to obtain a stylized face model corresponding to the to-be-processed face image.

Abstract: The present disclosure discloses a method for generating a virtual image, an electronic device, and a storage medium, relating to a field of virtual reality, in particular to fields of artificial intelligence, Internet of Things, voice technology, cloud computing, etc. An implementation includes: acquiring a language description generated by a user for a target virtual character; extracting a respective semantic feature based on the language description; and generating the target virtual character based on the semantic feature.

Abstract: Embodiments of the present disclosure provide methods and apparatuses for removing video jitter.

Abstract: The present disclosure discloses a method for processing a slider for a virtual character, an electronic device, and a storage medium, relating to a field of virtual reality, in particular to fields of artificial intelligence, Internet of Things, voice technology, cloud computing, etc. An implementation includes: acquiring a shape model associated with a target semantic tag; acquiring a skeleton and skinning information of a reference virtual character; fitting the shape model based on the skeleton and skinning information to obtain a skeleton linkage coefficient; and generating a slider associated with the target semantic tag based on the skeleton linkage coefficient, wherein the slider is used to drive the reference virtual character to obtain a target virtual character complying with a target semantic feature contained in the target semantic tag.

Abstract: A method and apparatus for generating a user avatar, an electronic device, and a computer readable storage medium are provided. The method may include: receiving incoming expression-driven information and a target avatar model being sent when a rate at which an original rendering device renders to obtain a corresponding dynamic avatar is less than a preset rate; driving the target avatar model based on the expression-driven information to generate a dynamic avatar of the user; and pushing the dynamic avatar as a substitute avatar of the user to another user.

Abstract: Provided are a virtual avatar driving method and apparatus, a device, and a storage medium. The virtual avatar driving method includes: determining reference pose data of each of bone nodes when driving a skinned mesh bone model of a virtual avatar to a target patch model with a same topology; synchronously driving the skinned mesh bone model according to the reference pose data of each of the bone nodes; and updating the reference pose data of each of the bone nodes for subsequently driving the skinned mesh bone model.

Abstract: Provided are a driving method and apparatus of an avatar, a device and a medium. The method includes acquiring the skin weight of each skin vertex associated with the current bone node in the skinned mesh model of the avatar; acquiring target avatar data of the skinned mesh model when a picture to be converted is converted into the avatar; determining the bone driving factor of the skinned mesh model based on the skin weight, basic avatar data of the skinned mesh model and the target avatar data; and driving the skinned mesh model based on a bone driving factor of each bone node.

Abstract: Embodiments of a method and apparatus for generating a virtual avatar, a device and a storage medium are provided. The method may include: determining a template coefficient of a target face in a to-be-processed image based on at least two real face feature templates; and determining a virtual avatar of the target face according to the template coefficient and at least two virtual face feature templates associated with the at least two real face feature templates.

Abstract: Embodiments of the present disclosure discloses a method and apparatus for rendering an image, an electronic device and a computer readable storage medium. An example implementation of the method includes: acquiring a real color parameter and a face skin color parameter in a real user image including a face image area, determining lighting parameter information based on the real color parameter and the face skin color parameter, acquiring a to-be-rendered image obtained based on the real user image, and generating a texture parameter based on the lighting parameter information, and using the texture parameter to perform lighting rendering on the to-be-rendered image to obtain a rendered image.

Abstract: Embodiments of a method, an apparatus, a device and a storage medium for an animation interaction are provided. The method may include: receiving a person image sent by a terminal device; then generating a three-dimensional virtual image based on the person image, where the three-dimensional virtual image is similar to a person in the person image; generating animation interactive information, where the animation interactive information includes a sequence of interactive expression frames; and sending the three-dimensional virtual image and the animation interactive information to the terminal device.

Abstract: The invention discloses an ionospheric delay correction method for LEO satellite augmented navigation systems for GNSS. According to the method, GNSS satellite navigation signals received by LEO GNSS receiver loads are used for providing ionospheric information for navigation augmentation for earth surface users. In the method, as a set of mobile navigation augmentation reference stations, LEO satellites continuously observe the global ionosphere to generate ionospheric delay correction information, and the ionospheric delay correction information is sent to the earth surface users to obtain augmented navigation performance.

Abstract: Embodiments of the present disclosure provide methods and apparatuses for removing video jitter.

Abstract: The invention discloses an ionospheric delay correction method for LEO satellite augmented navigation systems for GNSS. According to the method, GNSS satellite navigation signals received by LEO GNSS receiver loads are used for providing ionospheric information for navigation augmentation for earth surface users. In the method, as a set of mobile navigation augmentation reference stations, LEO satellites continuously observe the global ionosphere to generate ionospheric delay correction information, and the ionospheric delay correction information is sent to the earth surface users to obtain augmented navigation performance.