3D Scene Restoration Using Augmented Viewpoints for Detail Consistency
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Solution Overview
Problem
Existing methods for generating photorealistic scene images struggle to effectively utilize neural rendering techniques to restore scene images from different viewpoints, leading to inconsistencies and loss of detail.
Innovation Solution
A method involving obtaining an input image, determining augmented viewpoints, generating augmented images using a view change model, and restoring a scene image using a scene restoration model that includes a deformation estimation model and a neural scene representation model to estimate color and volume density information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If neural rendering techniques are used to restore scene images from different viewpoints, then photorealistic synthesis is improved, but inconsistencies and loss of detail occur
Solution Approach 1:
The patent segments the scene restoration process into multiple stages: obtaining input images from different viewpoints, generating augmented images through view change models, and restoring the scene image using a scene restoration model. This segmentation allows each stage to focus on specific tasks, improving overall reliability while maintaining precision through controlled processing steps.
Solution Approach 2:
The patent performs preliminary actions by generating augmented images from input images before the main scene restoration process. These augmented images serve as pre-processed data that contains information about different viewpoints, which is then used by the scene restoration model to generate the final restored scene image with improved consistency and detail.
2Measurement precision
If multiple augmented images are generated from a single input image, then scene restoration accuracy is improved, but processing time increases
Solution Approach 1:
The patent generates multiple augmented images from a single input image as a preliminary step before performing scene restoration. This preliminary generation of augmented images from different viewpoints provides rich contextual information that improves restoration accuracy while the processing time is managed through efficient model design.
Solution Approach 2:
The scene restoration model is designed to handle multiple augmented images and generate a single restored scene image that incorporates information from all viewpoints. This multi-functionality allows the system to process multiple input images efficiently and produce accurate restoration results without proportionally increasing processing time.
Data Source
AI summary
A device and method for performing scene restoration, including: obtaining an input image of an object; based on an input viewpoint corresponding to the input image, determining a plurality of augmented viewpoints surrounding the object in a three-dimensional (3D) space including the object; generating a plurality of augmented images at the plurality of augmented viewpoints, wherein each augmented image from among the plurality of augmented images corresponds to a view of the object from a corresponding augmented viewpoint from among the plurality of augmented viewpoints, and wherein each augmented image is generated based on an image at a different viewpoint using a view change model; generating a scene restoration model based on the input image at the input viewpoint and the plurality of augmented images at the plurality of augmented viewpoints; and restoring a scene image of a target view of the object using the scene restoration model.