Electronic Device AI Image Generation From Drawing Inputs

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Solution Overview

Problem

Existing electronic devices lack intuitive methods for generating high-quality images with enhanced editing capabilities, particularly in terms of object manipulation and scene enhancement through user inputs.

Innovation Solution

An electronic device equipped with artificial intelligence models, including neural networks, processes user drawing inputs to identify object attributes and generate higher-quality images by applying these attributes to create or modify objects within an image.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If conventional image editing functions are used (cropping, connecting, object extraction), then basic image manipulation is achieved, but high-quality image generation with enhanced editing capabilities is not possible

Engineering Contradiction:
Improveimage qualityVSAvoidediting capability
Core Design Contradiction:
Manufacturing precisionVSAdaptability or versatility

Solution Approach 1:

The patent introduces an intermediary AI model that acts as a mediator between user input and image generation. The model receives drawing inputs and converts them into high-quality images with enhanced editing capabilities, resolving the contradiction by providing a translation layer that transforms simple inputs into complex outputs.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system changes the parameter of image quality by using AI model processing to generate images with higher resolution and better characteristics compared to conventional editing methods, while simultaneously enhancing editing versatility through attribute identification and application.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If AI models are used to generate high-quality images from drawing inputs, then image quality and editing capability are improved, but the device complexity increases

Engineering Contradiction:
Improveimage qualityVSAvoidsystem complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent extracts the complex AI model processing functionality as a separate, dedicated component. By isolating the neural network processing from the main device operations, the system achieves high-quality image generation without unnecessarily complicating the overall device architecture, as the AI model can be updated or replaced independently.

Inventive Principle:
Principle #2Taking out (Extraction)

3Ease of operation

If conventional object manipulation methods are used, then basic editing is possible, but intuitive high-level object manipulation and scene enhancement are not achieved

Engineering Contradiction:
Improveuser input intuitivenessVSAvoidimage processing capability
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The patent replaces mechanical, step-by-step editing operations with an AI-based system that interprets drawing inputs and automatically performs complex image processing. This substitution allows users to interact intuitively through simple drawings while the AI handles the sophisticated object manipulation and scene enhancement, resolving the contradiction between ease of operation and processing capability.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250322569A1Electronic device, method, and storage medium for generating image
Publication Date: 2025.10.16 SAMSUNG ELECTRONICS CO LTD
  • US20250322569A1 patent drawing
  • US20250322569A1 patent drawing
  • US20250322569A1 patent drawing

AI summary

An electronic device, a method, and a storage medium for generating an image are provided. The method for generating an image includes displaying a first image including a first object based on a first drawing input. The method includes receiving a second drawing input around the first object included in the first image. The method includes identifying, based on determining that the second drawing input is a control command, attributes of the first object. The attributes of the first object includes a type of the first object. The method includes generating a second image including a second object having the same attributes as the first object based on the identified attributes of the first object. The second image is of higher quality than the first image. The method includes providing the second image.