Image generation method and terminal device
An image generation and image technology, applied in the field of image processing, can solve problems such as difficulty in obtaining images, and achieve the effect of improving experience
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Embodiment 2
[0123] Embodiment 2 mainly includes: context-based intelligent optimization and recommendation, and specifically includes the following at least two aspects:
[0124] 1. Context information refers to the knowledge base established in the system, including user profile information, artistic positioning (personal artistic positioning and the artistic positioning of the user's social group) and common sense; among them,
[0125] 1) The user's personal profile information is used as a context constraint for the system to generate or modify images, and is updated in real time according to user input, including: nationality, race, gender, age and other information;
[0126] 2) Establish an image decomposition model from each artistic level, perform artistic evaluation on the images that users are satisfied with, and obtain the user's personal artistic positioning information to generate images that are more in line with personal preferences;
[0127] 3) Perform artistic positioning ...
Embodiment 3
[0131] The third embodiment mainly includes: generating a multi-layer image, which includes at least the following three aspects; wherein,
[0132] 1. Multiple layers can be generated according to user needs;
[0133] 2. Generate some additional information, such as depth information, to assist in placing elements of different layers;
[0134] 3. Each layer can be adjusted independently or jointly to produce the final image.
[0135] In the embodiment of the present invention, image generation is text input through voice recognition, user handwriting or keyboard text input, or copy and paste, and the text-to-image generation process is started by the user clicking a button, voice command, and the like. The input text is converted into semantics that can be understood by the image generation model (GAN model) by the natural language understanding module. Therefore, the description information input by the user needs to include a description of the content and characteristics ...
Embodiment 1
[0137] Embodiment 1 of the present invention introduces the application scenario in detail, the method flow of image generation is as follows image 3 Shown:
[0138] Step 301. Obtain description information corresponding to the image to be generated.
[0139] Specifically, the description information includes at least one of the following: text description information, voice description information, and image description information.
[0140] The user can input voice, text or image as description information, wherein the user can input voice through the voice assistant application, input text by handwriting or keyboard, or input text or image by copying and pasting. After the system receives the description information input by the user, it can determine the text corresponding to the description information. If the description information input by the user contains voice and / or images, the system can convert the input voice into text through voice recognition, and convert th...
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