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一种新的服装转移方法,由虚拟试穿模型的蒸知识监督

Naiyu Fang¹, Lemiao Qiu¹, Shuyou Zhang¹

¹State Key Laboratory of Fluid Power & Mechatronic Systems, Zhejiang University, Hangzhou, 310027, China.

Neural networks : the official journal of the International Neural Network Society

|May 11, 2024

概括

本研究介绍了一种新的服装转移方法,使用来自虚拟试穿的知识蒸. 它通过提高图像之间的服装转移的稳定性和现实性来实现最先进的结果.

科学领域:

计算机视觉计算机视觉
人工智能的人工智能
图像处理图像处理

背景情况:

服装转移旨在将来自源图像的服装应用到目标人身上.
由于缺乏基本真相数据,现有的方法在稳定性和完整性方面扎.
虚拟试用技术看起来有前途,但在应用方面有所不同.

研究的目的:

开发一种强大而现实的服装转移方法.
为了克服服装转移中自我监督学习的局限性.
为了利用虚拟试穿成功的服装转移.

主要方法:

从虚拟试穿模型提炼知识,以监督服装转移培训.
一个管道涉及服装转移解析,渐进的流曲,和inpainting.
一个手臂再生任务通过推断暴露的皮肤来增强现实性.

主要成果:

拟议的方法在跨人服装转移方面实现了最先进的性能.
与现有方法相比,证明了优越的稳定性和现实性.
成功地集成了解析,曲和inpainting,以实现有效的传输.

结论:

从虚拟尝试中提取知识是服装转移的有效策略.
拟议的管道解决了服装转移的关键挑战,包括强度和现实性.
这种方法为时尚和电子商务的商业应用提供了巨大的潜力.

关键词:

服装转移服装转移服装转移服装转移服装的曲是因为服装的曲.知识的蒸知识的蒸.分析推理分析的推理虚拟试用虚拟试用

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