Image generation method based on attention mechanism and flow model
An image generation and attention technology, applied in 2D image generation, image data processing, neural learning methods, etc., can solve problems such as difficulty in taking into account texture information and structural information at the same time, difficulty in retaining clear textures, etc., to improve quality, enrich The effect of detailed information
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[0023] In order to make the purpose, technical method and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific examples. These examples are illustrative only and not limiting of the invention.
[0024] The image generation method based on the attention mechanism and flow model of the present invention uses three subtasks to extract structural information and preserve detail information. The main task uses subtasks.
[0025] The working principle of the method of the present invention is: Subtask 1. Construct a correlation matrix extractor to extract the correlation matrix between the original image and the target posture in order to extract structural information; Subtask 2. Construct a flow field predictor based on the flow model to extract Predict the flow field from the original image to the target pose to preserve the detailed information; and subtask 3. Cons...
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