Controllable 3D Style Transfer via 2D Mask Segmentation
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Solution Overview
Problem
Existing techniques for style transfer in 3D scenes lack fine-grained controllability and quality, as they typically transfer a single style to the entire content sample, are limited by the geometric quality of 3D inputs, and require detailed 3D representations for modification.
Innovation Solution
The technique involves converting style and content samples into feature sets, determining 2D masks for specific regions, and performing nearest neighbor feature matching to generate style transfer results that include structural and stylistic elements at precise locations, allowing for fine-grained control and different styles to be applied to various regions of a 3D scene.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single style is transferred to the entire content sample, then the style transfer process is simple, but fine-grained controllability is lost
Solution Approach 1:
The patent segments the content sample into multiple regions using 2D masks, allowing different styles to be applied to different regions. This segmentation enables fine-grained controllability while maintaining a relatively simple overall process through automated region identification and style assignment.
2Adaptability or versatility
If 3D point clouds or mesh representations are used for style transfer, then 3D environment modification is enabled, but the quality is limited by geometric resolution and detailed 3D representation generation is required
Solution Approach 1:
The patent introduces 2D masks as an intermediary between the style sample and the 3D content sample. These masks enable precise region selection without requiring detailed 3D geometric representations, thus achieving high-quality style transfer while avoiding the limitations of 3D point cloud or mesh-based methods.
3Adaptability or versatility
If different styles are applied to different regions, then fine-grained control is achieved, but the complexity of determining region-style mappings increases
Solution Approach 1:
The system performs self-service by automatically generating 2D masks from the content sample and style sample, and autonomously determining the mapping between regions and styles. This automation reduces the complexity burden on the user while enabling sophisticated region-specific style application.
Data Source
AI summary
The present invention sets forth a technique for performing style transfer. The technique includes converting a first style sample into a first set of features and determining one or more style masks associated with the style sample. For each content sample included in a set of content samples, the technique also includes converting the content sample into an additional set of features, determining one or more two-dimensional content masks associated with the content sample, and determining a set of matches between (i) one or more subsets of the additional set of features corresponding to the one or more content masks and (ii) one or more subsets of the first set of features corresponding to the one or more style masks. The technique further includes generating a style transfer result, wherein the style transfer result comprises structural elements of the 3D scene and stylistic elements of the first style sample.