Inverse Rendering With 3D Lighting Estimation for 2D-3D Image Synthesis
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Solution Overview
Problem
Conventional image synthesis methods struggle with shading, shadowing, and relighting, and fail to accurately position objects in a 3D space due to simplified lighting information extraction from single-view images.
Innovation Solution
An apparatus and method using reverse rendering with 3D spatially varying lighting information estimation, employing a target view analysis unit, material estimation unit, and 3D lighting estimation unit to synthesize 2D images with 3D objects, leveraging multi-view images to estimate materials, shapes, and lighting information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If single-view images are used for reverse rendering to extract lighting information, then the processing complexity is reduced, but the lighting information is calculated only in units of 2D pixel and cannot be used to position objects in 3D space
Solution Approach 1:
The patent transitions from 2D pixel-based lighting information to 3D spatially-varying lighting information by introducing depth dimension. The reverse rendering process reconstructs lighting properties in three-dimensional space, enabling both accurate lighting representation and object positioning through the additional spatial dimension.
Solution Approach 2:
The patent introduces multi-view images as an intermediary to bridge the gap between 2D image data and 3D lighting information. By combining multiple viewpoint images, the system recovers three-dimensional lighting properties that cannot be obtained from a single view, while maintaining manageable processing complexity through structured integration of the multi-view data.
2Manufacturing precision
If conventional rendering methods are used to restore objects and backgrounds to 3D formats, then 3D synthesis is achieved, but the process requires de-lighting light from images and simplifies many features during rendering
Solution Approach 1:
The patent performs preliminary reverse rendering to extract complete lighting information (including spatially-varying properties, material characteristics, and geometric data) before the actual 3D synthesis process. By recovering all lighting properties in advance from multi-view images, the system avoids information loss during the subsequent rendering and synthesis operations.
Solution Approach 2:
The patent changes the parameter representation from simplified 2D lighting values to comprehensive 3D lighting parameters including spatially-varying intensity, direction, and material properties. This parameter transformation enables accurate preservation of lighting and material information throughout the 3D synthesis process without the simplifications required by conventional methods.
3Measurement precision
If multi-view images are used for reverse rendering to estimate 3D spatially-varying lighting information, then object positioning in 3D space and lighting accuracy are improved, but the processing complexity and computational requirements increase
Solution Approach 1:
The patent segments the complex reverse rendering process into distinct functional modules: multi-view image acquisition, lighting information extraction, material property recovery, and 3D synthesis. This segmentation allows each module to be optimized independently, managing system complexity while achieving high measurement precision through specialized processing at each stage.
Data Source
AI summary
The present disclosure relates to an apparatus for synthesizing a 2D image and media using a reverse rendering including 3D spatially varying lighting information estimation, and the apparatus includes a target view analysis unit configured to estimate a normal map and direct lighting using a plurality of 2D images, a material estimation unit configured to reflect the normal map and direct lighting estimated from the target view analysis unit and estimate material information, a 3D lighting estimation unit configured to reflect the direct lighting estimated from the target view analysis unit and the material information estimated from the material estimation unit and estimate 3D spatially varying lighting information, and an image generation unit configured to reflect the estimated shapes, materials, and 3D spatially varying lighting information, synthesize the 2D images with 3D objects, and generate a synthesized image.