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IMAGGarment:为可控制的时尚设计而制作细粒度服装

Fei Shen, Jian Yu, Cong Wang

IEEE transactions on visualization and computer graphics

|March 6, 2026

概括

IMAGGarment提供高保真服装生成,精确控制设计元素,如标志. 这种细粒度服装生产 (FGG) 框架克服了以前针对个性化时尚和数字服装的方法的局限性.

科学领域:

计算机视觉计算机视觉
人工智能的人工智能
时尚技术时尚技术时尚技术

背景情况:

现有的细粒度服装制造 (FGG) 方法经常与多条件可控性作斗争.
个性化时装设计和数字服装应用需要精确控制服装属性.

研究的目的:

推出IMAGGarment,这是一个高保真服装合成的新框架,具有多条件可控性.
为了能够精确地控制轮,颜色和标志在产生的服装中的位置.

主要方法:

一个两阶段的培训策略:一个全球外观模型 (混合注意力,颜色适配器) 和一个局部增强模型 (适应外观意识模块).
端到端推断,实现统一和可控制的发电.
开发GarmentBench,一个大规模的数据集,拥有超过18万件服装样本和多层次的设计条件.

主要成果:

与现有的基线相比,IMAGGarment表现出优越的表现.
实现了增强的结构稳定性,颜色保真性和局部可控性.
成功整合用户定义的标志和空间约束,并保持视觉一致性.

结论:

IMAGGarment提供了一个强大的解决方案,用于可控制和高保真的服装生产.
该框架促进了个性化的时装设计和数字服装创作.
公共可用的代码,模型和数据集有助于进一步的研究和应用.

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