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Jun, 2023
利用非对称梯度引导改进基于扩散的图像翻译
Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance
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Gihyun Kwon, Jong Chul Ye
TL;DR
本文提出了一种使用非对称梯度指导的扩散抽样反向过程的方法，以解决图像翻译中的风格转换和内容保留的权衡问题，并在文本引导和图像引导下进行了快速稳定的图像操作。
Abstract
diffusion models
have shown significant progress in
image translation
tasks recently. However, due to their stochastic nature, there's often a trade-off between
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