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High-level Shape Representations for Content Creation

High-level Shape Representations for Content Creation
用于内容创建的高级形状表示
批准号:
RGPIN-2015-05407
负责人:
vanKaick, Oliver
金额:
$2.11万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
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英文摘要
We propose to investigate high-level representations to facilitate content creation. The creation of geometric content is an important task in areas such as computer graphics and animation, visual effects, game development, and fabrication-oriented design. The most common approach for creating 3D content is by directly modeling the geometry of 3D shapes. However, modeling is a laborious task where artists need to be skilled to use the conventional software tools, which typically involve working on low-level shape representations, e.g., triangle meshes.
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High-quality Shape Synthesis with User-guided Deep Neural Networks
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  • 项目类别:
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  • 批准号:
    RGPIN-2015-05407
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
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  • 依托单位:
High-level Shape Representations for Content Creation
  • 批准号:
    RGPIN-2015-05407
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
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    2020
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High-level Shape Representations for Content Creation
  • 批准号:
    RGPIN-2015-05407
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
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