Tencent Patente

Embodiments of the present application provide an image generation method and apparatus, an electronic device, and a storage medium. The image generation method relates to the field of image generation in the field of image processing. The image generation method comprises: upon acquiring an input image and a reference image, first encoding the input image and the reference image to obtain an input feature of the input image and a reference feature of the reference image; and then decoding the input feature and the reference feature to obtain a final output image. The image generation method can not only improve the image generation performance, but also improve the generalization ability of an image generation process and reduce the complexity and time cost of the image generation process.

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Disclosed in the embodiments of the present application are a data transmission method, an apparatus, a storage medium and a device, which can be applied to various scenarios such as cloud technology, artificial intelligence, smart traffic and aided driving. The method comprises: by means of a dedicated transport layer security protocol between an applet and a server, sending a handshake request to the server; by means of the dedicated transport layer security protocol, receiving a dynamic key returned, on the basis of the handshake request, by the server and an encrypted string obtained on the basis of the dynamic key; acquiring data to be transmitted, and using the dynamic key to encrypt the data, so as to obtain a ciphertext; and, by means of a universal transport layer security protocol, sending the ciphertext and the encrypted string to the server, so that the server obtains the dynamic key on the basis of decrypting the encrypted string, and decrypts the ciphertext on the basis of the dynamic key to obtain decrypted data.

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A video coding method, executed by an electronic device, and comprising: when N adjacent blocks of a current block in a current video frame have been coded, and a coding mode of each adjacent block among the N adjacent blocks is different from backward predictive coding, counting a first number of adjacent blocks having undergone forward predictive coding among the N adjacent blocks, wherein N is a positive integer greater than or equal to 2 (S302); when the first number is greater than 0 and forward predictive coding cost of the current block is determined by using a reference frame set and is less than a preset target cost threshold corresponding to the first number, determining coding cost used for backward predictive coding of the current block by using each reference frame in the reference frame set, and determining the minimum coding cost among the determined coding cost used for backward predictive coding as backward predictive coding cost of the current block, wherein the forward predictive coding cost is the minimum coding cost among the coding cost used for forward predictive coding of the current block by using each reference frame in the reference frame set (S304); and on the basis of the size relationship between the forward predictive coding cost and the backward predictive coding cost, determining a coding mode of the current block (S306).

The present application belongs to the technical field of artificial intelligence. Disclosed are an image processing method and apparatus, a method and apparatus for training a body part image prediction model, and a computer device, a computer-readable storage medium and a computer program product. The method comprises: acquiring a first body image, which is an image in a first angle of view; calling a feature coding network to perform image coding on the first body image, so as to obtain fused feature representations of at least two query points on a body object, wherein an nth fused feature representation is used for indicating a feature representation of an image region which is symmetric in terms of a physiological structure; and calling a decoding network to perform feature decoding on the fused feature representations of the at least two query points, so as to obtain decoded features, and performing rendering by means of the decoded features, so as to obtain a second body image, which is image information in a second angle of view.

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Disclosed in embodiments of the present application are a message transmission method and apparatus, a device, and a storage medium, relating to the technical field of Internet of Vehicles. The method comprises: an edge computing device receives a vehicle communication message sent by a core network user plane device, wherein the vehicle communication message is sent by a vehicle-mounted terminal to a core network by means of a communication network, and each formation vehicle in a vehicle formation is provided with a vehicle-mounted terminal; performing message scheduling on each received vehicle communication message; and sending the scheduled vehicle communication message to the core network user plane device, such that the core network user plane device forwards the vehicle communication message to vehicle-mounted terminals other than the vehicle-mounted terminal of the sender by means of the communication network, and the vehicle-mounted terminal of the sender is a vehicle-mounted terminal that sends the vehicle communication message. By adopting the solution provided in the embodiments of the present application, the implementation costs of vehicle formation traveling can be reduced, and the safety of vehicle formation traveling can be improved.

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Provided in the present application are a blockchain resource processing method and apparatus, an electronic device, a storage medium, and a program product. The blockchain resource processing method comprises: in response to a deployment request by a first object for a target resource packet, deploying the target resource packet in an overall contract; receiving a binding request by the first object for a plurality of target resources to be bound which are in the target resource packet, wherein for each target resource to be bound, a second owner in a sub-contract corresponding to the target resource to be bound is already registered as the first object; in response to the binding request, transferring the second owner from being the first object to being the address of the overall contract, so as to determine the target resources to be bound as bound target resources; and, in response to an ownership transfer request by a second object for the bound target resources, transferring a first owner of the bound target resources to be the second object.

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A method for controlling a robotic arm, relating to the technical fields of robots and automatic control. The method comprises: acquiring historical-data pairs at N moments, wherein each historical-data pair comprises historical input data and historical output data, the historical input data is used for controlling a robotic arm (220) to move, such that a first object (210) is kept in a balanced state on the robotic arm (220), and the historical output data is used for representing a pose of the robotic arm (220) and a pose of the first object (210) after the robotic arm (220) is controlled, on the basis of the historical input data, to move, N being a positive integer; on the basis of the historical-data pairs at the N moments, determining predicted input data of the robotic arm (220); and on the basis of the predicted input data, controlling the robotic arm (220) to move, wherein the first object (210) maintains balance during the motion of the robotic arm (220). The prediction of a future system state of the robotic arm (220) is performed on the basis of historical data, and does not only rely on feedback variables of a robotic arm system, so that a control response is faster. Further provided are a robotic arm control apparatus, and a device and a storage medium.