Semantic Image Synthesis With Precision Layout Control
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Solution Overview
Problem
Conventional diffusion models lack user interface capabilities for controlling the layout of objects with sufficient precision in generated images, failing to accurately reflect user input and object relations, and are limited in controlling shape and orientation.
Innovation Solution
An image processing apparatus that receives user commands via a user interface, utilizing a multi-scale guided diffusion model to generate synthesized images by specifying text prompts, layout information, and precision levels, which constructs a precision-encoded mask pyramid to model layout precision and encodes precision levels, enabling precise control over object placement and shape.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional diffusion models are used for image generation, then image generation capability is provided, but layout control precision and user interface capability are insufficient
Solution Approach 1:
The patent segments the layout control into multiple precision levels (coarse, fine, ultrafine) and uses a multi-scale guided diffusion model with corresponding feature pyramids at different resolutions. This allows the system to handle layout control precision requirements through hierarchical processing, where each scale handles specific precision levels independently, resolving the contradiction between precision and ease of operation.
Solution Approach 2:
The patent implements dynamic precision control where the system can adaptively adjust the precision level based on user input and task requirements. The multi-scale guided diffusion model dynamically selects appropriate feature pyramid levels and guidance strengths, enabling the system to provide intuitive user interface interaction while maintaining high layout control precision when needed.
2Manufacturing precision
If diffusion models generate images without precision control, then generation speed is maintained, but shape and orientation accuracy deteriorate
Solution Approach 1:
The patent segments the image generation process into multiple precision levels with corresponding feature pyramids at different resolutions. Coarse-level pyramids handle overall shape and orientation quickly, while fine and ultrafine-level pyramids refine these details. This segmentation allows the system to maintain fast generation at coarse levels while adding precision through subsequent refinement steps.
Solution Approach 2:
The patent applies preliminary action by first generating images at coarse precision levels using lower-resolution feature pyramids, establishing the basic shape and orientation quickly. Only after this preliminary generation does the system proceed to fine and ultrafine precision levels for refinement. This preliminary coarse generation maintains productivity while subsequent refinement steps improve accuracy.
3Adaptability or versatility
If multiple precision levels are implemented, then layout control flexibility is improved, but system complexity increases
Solution Approach 1:
The patent segments the complex precision control system into three distinct but manageable precision levels (coarse, fine, ultrafine), each with its own feature pyramid and guidance mechanism. This segmentation allows the system to handle layout control flexibility through modular processing, where each level operates independently but builds upon the previous level, managing overall system complexity.
Solution Approach 2:
The patent introduces a precision level dimension to the traditional two-dimensional image generation process. By adding this third dimension (coarse-fine-ultrafine precision levels), the system achieves layout control flexibility without overwhelming complexity, as each dimension can be processed and refined independently through the multi-scale guided diffusion framework.
Data Source
AI summary
Embodiments of the present disclosure include obtaining a text prompt describing an element, layout information indicating a target region for the element, and a precision level corresponding to the element. Some embodiments generate a text feature pyramid based on the text prompt, the layout information, and the precision level, wherein the text feature pyramid comprises a plurality of text feature maps at a plurality of scales, respectively. Then, an image is generated based on the text feature pyramid. In some cases, the image includes an object corresponding to the element of the text prompt at the target region. Additionally, a shape of the object corresponds to a shape of the target region based on the precision level.