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CN-122023572-A - Method, apparatus, device and product for generating image

CN122023572ACN 122023572 ACN122023572 ACN 122023572ACN-122023572-A

Abstract

The present disclosure relates to methods, apparatus, devices, and products for generating images. The method includes determining a corresponding plurality of layers based on images of an environment inside and outside the vehicle, wherein the plurality of layers differ in spatial relationship. The method further includes generating, by an image generation model, a corresponding image based on the layers based on the state of the vehicle and/or input information of the user. By the method, the image which accords with the user intention and the vehicle environment can be generated by combining the input of the user, the state of the vehicle and the environment around the vehicle, so that the user experience can be improved.

Inventors

  • LIN NAN
  • LIU YANG
  • WANG LIYAO
  • DUAN NING

Assignees

  • 大众酷翼(北京)科技有限公司

Dates

Publication Date
20260512
Application Date
20241106

Claims (16)

  1. 1. A method for generating an image, comprising: determining a plurality of corresponding layers based on images of the internal and external environments of the vehicle, wherein the spatial relationships of the layers are different; Based on the state of the vehicle and/or the input information of the user, corresponding images are generated based on the plurality of image layers through an image generation model.
  2. 2. The method of claim 1, wherein determining the corresponding layer based on the image of the vehicle interior and exterior environment comprises: acquiring an environment image of the surrounding environment of the vehicle and an in-vehicle image corresponding to the interior of the vehicle by using a plurality of image acquisition devices; Determining a user-corresponding character image in the vehicle based on the vehicle interior-corresponding image, and And generating a plurality of corresponding image layers based on the environment image, the in-vehicle image and the character image corresponding to the user.
  3. 3. The method of claim 2, wherein determining a corresponding plurality of layers comprises: Determining a plurality of sub-ambient images for a plurality of directions in the ambient image based on the identification information of the plurality of image capturing devices, the directions including front, rear, left and right of the vehicle, and A corresponding plurality of layers is determined based on the plurality of sub-environment images, the in-vehicle image, and the person image.
  4. 4. The method of claim 2, wherein generating, by an image generation model, a corresponding image based on the plurality of layers comprises: generating a plurality of corresponding candidate layers based on the plurality of layers; Determining a target layer to be adjusted in the plurality of candidate layers based on the state of the vehicle and/or the input information of the user, and And adjusting the target image layer through an image generation model to generate a corresponding image.
  5. 5. The method of claim 4, wherein adjusting the target layer comprises: Determining the type of the character image and the image characteristics of the character image, and The target layer is adjusted based on the type and the image features, the target layer including at least one of a character layer and an environment layer.
  6. 6. The method of claim 5, wherein adjusting the target layer comprises: Adjusting character features of character layers in the at least one layer based on the image features, wherein the character features corresponding to the adjusted character layers are matched with the image features, the image features comprise facial features and gesture features of the characters, and And adjusting the characteristics of the environment in the in-vehicle environment layer based on the image characteristics.
  7. 7. The method of claim 4, wherein adjusting the target layer comprises: determining corresponding key elements and image styles based on the input information of the user, and And adjusting the target image layer based on the key elements and the image style.
  8. 8. The method of claim 4, wherein adjusting the target layer comprises: Acquiring environment information corresponding to the vehicle, wherein the environment information comprises weather information, time information and geographic position information, and And adjusting the target layer based on the environment information, the state of the vehicle and the input information of the user.
  9. 9. The method of claim 1, further comprising: Acquiring driving data, media resource data and corresponding vehicle control unit data of a vehicle, and The state of the vehicle is determined based on the driving data, the media asset data, and the vehicle control unit data.
  10. 10. The method of claim 4, wherein generating the corresponding image comprises: Determining corresponding fusion image by multi-layer fusion of the adjusted layers, and And generating a corresponding image through an image generation model based on the fusion image.
  11. 11. The method of claim 10, wherein determining the corresponding fused image comprises: determining edge information corresponding to each layer in the adjusted layers; determining layers adjacent to the edge based on the edge information, and And determining corresponding fusion images by fusing the adjacent image layers of the edges.
  12. 12. The method of claim 4, wherein adjusting the target layer comprises: Generating a text description corresponding to the image of the environment inside and outside the vehicle through a language model, and The target layer is adjusted based on the text description.
  13. 13. The method of claim 4, wherein adjusting the target layer comprises: acquiring historical input information of a user aiming at a historical image and The target layer is adjusted based on the historical image and the historical input information.
  14. 14. An apparatus for generating an image, comprising: The image layer determining module is configured to determine a plurality of corresponding image layers based on images of the internal and external environments of the vehicle, wherein the spatial relationship of the plurality of image layers is different; And the image generation module is configured to generate corresponding images based on the multiple image layers through an image generation model based on the state of the vehicle and/or input information of a user.
  15. 15. An electronic device, comprising: at least one processor, and A memory coupled to the at least one processor and having instructions stored thereon, which when executed by the at least one processor, cause the apparatus to perform the method of any of claims 1-13.
  16. 16. A computer program product tangibly stored on a computer-readable medium and comprising machine-executable instructions that, when executed, implement the method of any one of claims 1 to 13.

Description

Method, apparatus, device and product for generating image Technical Field The present disclosure relates to the field of vehicle technology, and more particularly, to methods, apparatuses, devices, and products for generating images. Background With the rapid development of vehicle technology and artificial intelligence, automobiles have become an integral part of people's daily lives. During driving, users often encounter many beautiful scenes or want to record the current travel moods and feelings. At the same time, wen Shengwen, aragonist, graphing, etc. technologies are beginning to be widely used on vehicles. The expectations of users for entertainment functions of car systems are increasing, for example users are more pursuing intelligent, personalized intelligent graphics services. Disclosure of Invention Embodiments of the present disclosure propose a method, apparatus, device and article for generating an image. In a first aspect of the present disclosure, a method for generating an image is provided. The method includes determining a corresponding plurality of layers based on images of an interior and exterior environment of the vehicle, the plurality of layers having different spatial relationships. The method further includes generating, by an image generation model, corresponding images based on the plurality of layers based on the state of the vehicle and/or input information of the user. In a second aspect of the present disclosure, an apparatus for generating an image is provided. The apparatus includes a layer determination module configured to determine a corresponding plurality of layers based on images of an interior and exterior environment of a vehicle, the plurality of layers having different spatial relationships. The apparatus further includes an image generation module configured to generate, based on the plurality of layers, a corresponding image through an image generation model based on a state of the vehicle and/or input information of a user. In a third aspect of the present disclosure, an electronic device is provided. The electronic device comprising one or more processors, and storage means for storing one or more programs that when executed by the one or more processors cause the one or more processors to implement the method provided in accordance with the first aspect of the present disclosure. In a fourth aspect of the present disclosure, a computer-readable storage medium is provided. The computer-readable storage medium has stored thereon computer-executable instructions that are executed by a processor to implement the method provided according to the first aspect of the present disclosure. In a fifth aspect of the present disclosure, there is provided a computer program product tangibly stored on a computer-readable medium and comprising machine-executable instructions which, when executed, implement the method of the first aspect of the present disclosure. It should be understood that what is described in this summary is not intended to limit the critical or essential features of the embodiments of the disclosure nor to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following description. Drawings The above and other features, advantages and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, wherein like or similar reference numerals designate like or similar elements, and wherein: FIG. 1 illustrates a schematic diagram of an example environment in which various embodiments of the present disclosure may be implemented; FIG. 2 illustrates a schematic diagram of a process for generating an image according to some embodiments of the present disclosure; FIG. 3 illustrates a flow chart of a method for generating an image according to some embodiments of the present disclosure; FIG. 4 illustrates a schematic diagram of determining multiple layers according to some embodiments of the present disclosure; FIG. 5 illustrates a schematic diagram of adjusting multiple layers according to some embodiments of the present disclosure; FIG. 6 illustrates a block diagram of an apparatus for generating an image in accordance with some embodiments of the present disclosure, and Fig. 7 illustrates a block diagram of a device in which various embodiments of the present disclosure may be implemented. Detailed Description Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present dis