AI Image Object Placement Depth Map Lighting
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Solution Overview
Problem
Existing electronic devices lack an efficient method for intuitive image editing, particularly in adding, modifying, and moving objects within an image while maintaining realistic perspectives and lighting effects.
Innovation Solution
An electronic device with a processor and memory configured to receive user inputs for adding, modifying, or moving objects in an image, utilizing artificial intelligence models to generate preliminary object images and update depth information in real-time, ensuring realistic object placement and lighting effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional image editing methods are used for adding or moving objects, then basic editing functions are provided, but realistic perspective and lighting effects cannot be maintained
Solution Approach 1:
The patent introduces depth information maps and lighting effect models as intermediary elements between the user input and final image output. These intermediaries enable realistic object placement by calculating depth relationships and lighting interactions without requiring complex manual adjustments, thus resolving the contradiction between reliability and device complexity.
Solution Approach 2:
The system performs preliminary generation of depth information maps and preliminary object images before final image synthesis. By pre-calculating depth relationships and generating multiple candidate object images with appropriate lighting effects, the system ensures realistic object placement while automating complex computations, thereby reducing the perceived complexity for users.
2Measurement precision
If detailed object editing is provided, then editing precision is improved, but user operation complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where the system automatically generates preliminary object images with appropriate lighting and depth information based on user input. The system autonomously adjusts object parameters, calculates lighting effects, and synthesizes final images without requiring users to manually control each parameter, thus maintaining high editing precision while simplifying user operation.
Solution Approach 2:
The system provides feedback loops where generated preliminary object images and depth information are used to automatically adjust subsequent editing operations. By analyzing the generated images and comparing them with desired outcomes, the system refines object placement and lighting effects automatically, improving precision without increasing user operation complexity.
3Productivity
If real-time image updating is implemented, then editing speed is improved, but computational load increases
Solution Approach 1:
The patent segments the image editing process into distinct computational stages: depth information map generation, preliminary object image generation, lighting effect calculation, and final image synthesis. By dividing the computational load into segments that can be processed independently and in parallel, the system achieves real-time updating capability while managing computational energy consumption through efficient resource allocation at each stage.
Data Source
AI summary
Electronic devices, methods, and storage mediums for editing images are provided. An image editing method comprises receiving a first user input for a first image. The method comprises determining whether the first user input indicates an instruction to add a first object. The method comprises, when the first user input indicates an instruction to add the first object, generating a first preliminary object image for the first object. The method comprises displaying a second image including the first object, the second image being generated based on the first preliminary object image and being associated with the first image. The method comprises, when a second user input indicates an instruction related to the first object is received for the second image, displaying a third image in which at least one of a size or a location of the first object is changed according to the second user input.