3D Model Generation With Shared Multi-View Geometry Constraints
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Solution Overview
Problem
Existing methods for generating three-dimensional models from two-dimensional images face challenges in ensuring geometric consistency due to the reliance on abstract descriptions, leading to multi-view images that may not accurately represent the same object.
Innovation Solution
A method involving denoising noise adding feature representations at multiple viewing angles, extracting three-dimensional shared information, and adjusting input feature representations to generate viewing angle images that are integrated into a three-dimensional model, enhancing geometric consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a diffusion model with vision-language model is used to generate three-dimensional models from two-dimensional images, then the model can generate 360-degree perspective views, but geometric consistency cannot be ensured because only abstract descriptions are used as generation conditions
Solution Approach 1:
The patent introduces an abstract description as an intermediary element between the input image and the generated multi-view images. The abstract description serves as a mediator that guides the generation process while maintaining geometric consistency across different viewing angles. This intermediary allows the system to generate 360-degree perspectives without sacrificing accuracy, as the abstract description constrains the generation to remain faithful to the original object's geometry.
2Ease of manufacture
If abstract descriptions are used as generation conditions, then the generation process is simplified, but the ability to ensure geometric consistency deteriorates
Solution Approach 1:
The patent transforms the generation condition from direct image pixels to abstract descriptions, changing the parameter space. This parameter transformation allows the system to work with simplified semantic representations while still being able to reconstruct accurate three-dimensional geometry. The abstract description parameters (such as object attributes, spatial relationships, and structural features) are sufficient to guide the generation of geometrically consistent multi-view images without requiring complex pixel-level constraints.
3Adaptability or versatility
If multiple viewing angles are generated independently, then the generation flexibility is improved, but the correlation and consistency between views deteriorates
Solution Approach 1:
The patent creates a universal abstract description that serves all viewing angles simultaneously. This single abstract representation functions as the generation condition for multiple views, ensuring that all generated images are correlated through their shared semantic foundation. The abstract description captures the essential three-dimensional structure and attributes of the object, allowing consistent reconstruction across different perspectives while maintaining flexibility in generating any desired viewing angle.
Data Source
AI summary
Method for generating a three-dimensional (3D) model includes: obtaining noise adding feature representations corresponding to noise data, the noise adding feature representations being configured to denoise at viewing angles, to obtain viewing angle images corresponding to an entity element; determining input feature representations of denoising network layers corresponding to the viewing angles when the denoising network layers denoise the noise adding feature representations; obtaining 3D shared information shared between 3D transformation matrices corresponding to the input feature representations, a 3D transformation matrix being obtained through dimension transformation of the input feature representations; adjusting the input feature representations based on the 3D shared information to obtain adjusted feature representations with a correspondence established between the input feature representations and the adjusted feature representations; and generating the viewing angle images based on the adjusted feature representations, the viewing angle images being integrated to generate the 3D model representing the entity element.