Depth-Guided Image Generation Using Subject Contours and Materials
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Solution Overview
Problem
Existing image processing technologies lack the ability to provide richer image resources based on depth and image content information.
Innovation Solution
An image generation method that acquires depth and image content information from a first image, extracts target features such as color, contour, or material information, and generates a second image based on these features, including combining color and contour information when a subject is present or material information when no subject is present.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional image processing methods are used, then basic image editing functions are provided, but richer image resources cannot be provided according to image information
Solution Approach 1:
The image processing system segments the image into multiple layers including foreground objects, background, and depth information layers. This segmentation enables independent processing of different image components, allowing for diverse image resource generation while maintaining manageable processing complexity through modular operations on each layer
Solution Approach 2:
The patent introduces depth information as an additional dimension beyond traditional 2D image processing. By utilizing depth maps and three-dimensional spatial information, the system generates richer image resources including 3D effects, parallax views, and depth-based compositing, transforming conventional planar image processing into multi-dimensional image manipulation
2Adaptability or versatility
If depth information and image content information are analyzed to extract target features, then personalized image generation is enabled, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis of depth information and image content to pre-extract target features such as object contours, material properties, and spatial relationships. By conducting this feature extraction in advance before actual image generation, the system enables rapid personalized image creation while reducing real-time processing requirements
Solution Approach 2:
The patent creates feature representations and depth maps as simplified copies of the original complex image data. These extracted features serve as compact proxies that capture essential image characteristics, allowing personalized image generation to proceed using the feature copies rather than processing the full-resolution original image continuously
Data Source
AI summary
An image generation method and apparatus, an electronic device, and a readable storage medium. In the image generation method, a first image is acquired, and a target feature of the first image is acquired according to depth information and image content information of the first image, so that a corresponding target feature can be acquired according to image information, thereby facilitating generation of diversified images; and a second image is generated according to the target feature, where the target feature includes color information, and if the depth information and the image content information indicate that the first image includes a subject, the target feature further includes contour information of the subject; or if the depth information and the image content information indicate that the first image does not include a subject, the target feature further includes material information.