3D Human Modeling for Scene-Based 2D Image Editing
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Solution Overview
Problem
Conventional image editing systems are inflexible and inefficient, requiring significant user interaction to edit digital images at the pixel level and failing to maintain real-world conditions during edits.
Innovation Solution
A scene-based image editing system that utilizes machine learning to pre-process digital images, allowing intuitive, object-level editing by generating object masks, semantic scene graphs, and three-dimensional meshes to reflect real-world conditions, reducing user interactions and maintaining consistency with real-world physics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image editing systems edit digital images at the pixel level, then editing precision is maintained, but user interaction complexity and time consumption increase significantly
Solution Approach 1:
The system segments the image into multiple objects using object masks, allowing users to edit entire objects with single interactions rather than manually editing individual pixels. This segmentation enables object-level editing while maintaining precision through the use of generated object masks that define exact object boundaries.
Solution Approach 2:
The system performs preliminary actions by automatically generating object masks, semantic scene graphs, and three-dimensional meshes before the user initiates editing. This pre-processing organizes image data into structured representations that enable faster, more intuitive editing operations without sacrificing precision.
2Ease of operation
If conventional image editing systems require significant user interaction, then editing control is maintained, but ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically generating object masks, semantic scene graphs, and three-dimensional meshes without requiring user input. This automation simplifies the user interface and reduces the number of interactions needed, while the underlying complex processing is handled autonomously by the system.
Solution Approach 2:
The system introduces intermediary data structures (object masks, semantic scene graphs, three-dimensional meshes) that mediate between the raw image data and the editing operations. These intermediaries simplify user interaction by providing high-level abstractions while maintaining the capability for precise editing through the structured representations.
3Reliability
If conventional image editing systems edit images without considering real-world conditions, then editing flexibility is maintained, but reliability of real-world consistency deteriorates
Solution Approach 1:
The system transitions from two-dimensional pixel editing to three-dimensional mesh-based editing, adding a spatial dimension that enables editing operations to respect real-world physical conditions. The three-dimensional meshes provide geometric constraints and spatial relationships that ensure edits maintain realism while preserving flexibility through parametric control of 3D objects.
Solution Approach 2:
The system uses parameter changes in the three-dimensional meshes and semantic scene graphs to control editing operations. By modifying parameters of the structured representations (such as mesh vertices, object properties, or scene relationships), the system maintains real-world consistency while providing flexible editing capabilities through parametric adjustment rather than direct pixel manipulation.
Data Source
AI summary
The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify two-dimensional images via scene-based editing using three-dimensional representations of the two-dimensional images. For instance, in one or more embodiments, the disclosed systems utilize three-dimensional representations of two-dimensional images to generate and modify shadows in the two-dimensional images according to various shadow maps. Additionally, the disclosed systems utilize three-dimensional representations of two-dimensional images to modify humans in the two-dimensional images. The disclosed systems also utilize three-dimensional representations of two-dimensional images to provide scene scale estimation via scale fields of the two-dimensional images. In some embodiments, the disclosed systems utilizes three-dimensional representations of two-dimensional images to generate and visualize 3D planar surfaces for modifying objects in two-dimensional images. The disclosed systems further use three-dimensional representations of two-dimensional images to customize focal points for the two-dimensional images.