Panoramic Image Redrawing for High-Resolution Local Realism
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing 360° panoramic image generation technologies suffer from low resolution and lack of local realism, leading to suboptimal immersive experiences in extended reality environments.
Innovation Solution
A multi-stage panoramic image generation process involving text-to-image models, generative adversarial networks, and image inpainting to enhance resolution and realism, including steps such as redrawing, zooming, and adding image details, as well as using a base model to improve user comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing 360° panoramic image generation technology is used, then the generation process is simple, but the image resolution is low and local realism is poor
Solution Approach 1:
The panoramic image generation process is divided into multiple stages: first generating a low-resolution panoramic image, then selectively redrawing specific regions (such as regions of interest or low-quality areas) to improve local realism. This segmentation allows the system to apply complex processing only where needed, improving overall image quality while controlling computational complexity.
Solution Approach 2:
The patent applies different processing qualities to different regions of the panoramic image. High-resolution detailed redrawing is applied to specific regions that require enhanced local realism, while other regions maintain their original quality. This local quality approach optimizes the balance between image fidelity and processing complexity.
2Manufacturing precision
If high-resolution panoramic images are generated directly, then image quality is improved, but computational resources and processing time increase significantly
Solution Approach 1:
The system first generates a low-resolution panoramic image as a preliminary step before applying any redrawing or enhancement. This preliminary action establishes a base image that requires minimal computational resources to create, and subsequent high-resolution processing is applied only to specific regions rather than the entire image, significantly reducing overall computational consumption.
Solution Approach 2:
Instead of applying full high-resolution processing to the entire panoramic image, the system applies redrawing and enhancement operations only to partial regions that benefit most from improved quality. This partial action approach achieves the necessary image quality improvement while avoiding the excessive computational cost of processing the complete high-resolution image.
Data Source
AI summary
The present disclosure provides a panoramic image generation method and apparatus, an electronic device, and a storage medium. A panoramic image generation method includes: generating a first panoramic image with a first resolution based on image description text; and redrawing and zooming in the first panoramic image, and adding an image detail into the first panoramic image, to obtain a second panoramic image with a second resolution. The first resolution is smaller than the second resolution.


