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This CVPR paper is the Open Access version, provided by the Computer Vision Foundation. Except for this watermark, it is identical to the accepted version; the final published version of the proceedings
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Neural 3D Strokes IEEE refers to a technical framework or methodology related to the IEEE standards for neural networks and 3D modeling, often focusing on the representation and processing of 3D data using neural networks.
Researchers, developers, and organizations working on projects that utilize or develop neural network technologies for 3D modeling are typically required to file under Neural 3D Strokes IEEE.
Filling out Neural 3D Strokes IEEE generally involves providing detailed information about the research or technology being presented, including methodology, results, and compliance with IEEE standards.
The purpose of Neural 3D Strokes IEEE is to establish a standard for the development and implementation of neural networks in 3D data processing, facilitating collaboration and innovation in the field.
Information that must be reported includes project title, authors, affiliations, abstract, methodology, results, conclusions, and any relevant figures or references.
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