Appearance-Driven 3D Modeling via Joint Mesh and Shading Optimization
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Solution Overview
Problem
Conventional 3D modeling tools require manual iterative modifications to achieve desired image appearances, making inverse rendering challenging and inefficient for complex shape and appearance synthesis.
Innovation Solution
The system optimizes 3D models by jointly deforming triangle meshes and shading models based on reference images, using differentiable renderers and non-linear optimization to automatically generate shape and appearance representations that match target images, reducing geometric complexity and improving rendering efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional modeling tools are used with manual iterative modifications, then the desired image appearance can be achieved, but the process is time-consuming and inefficient
Solution Approach 1:
The system enables automatic 3D model generation by formulating inverse rendering as an optimization problem that automatically adjusts shape, lighting, and material parameters to match reference images, eliminating the need for manual iterative modifications by modelers
Solution Approach 2:
The patent replaces manual mechanical modeling operations with an automated optimization system that uses gradient-based methods to solve the inverse rendering problem, substituting human effort with computational algorithms
2Manufacturing precision
If high resolution 3D models are used, then visual fidelity is improved, but rendering time increases and geometric complexity increases
Solution Approach 1:
The system changes the parameter representation by using optimized vertex positions and appearance parameters that encode visual information more efficiently, allowing lower resolution models to achieve the same visual fidelity as high-resolution models through learned parameter transformations
3Manufacturing precision
If complex shape and appearance representations are used, then the accuracy of 3D scene modeling is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The patent segments the complex modeling problem into separate optimization components for shape (vertex positions) and appearance (shading parameters), allowing each to be optimized independently while maintaining overall accuracy, thereby reducing the complexity of the unified representation
Data Source
AI summary
Appearance driven automatic three-dimensional (3D) modeling enables optimization of a 3D model comprising the shape and appearance of a particular 3D scene or object. Triangle meshes and shading models may be jointly optimized to match the appearance of a reference 3D model based on reference images of the reference 3D model. Compared with the reference 3D model, the optimized 3D model is a lower resolution 3D model that can be rendered in less time. More specifically, the optimized 3D model may include fewer geometric primitives compared with the reference 3D model. In contrast with the conventional inverse rendering or analysis-by-synthesis modeling tools, the shape and appearance representations of the 3D model are automatically generated that, when rendered, match the reference images. Appearance driven automatic 3D modeling has a number of uses, including appearance-preserving simplification of extremely complex assets, conversion between rendering systems, and even conversion between geometric scene representations.