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Jun, 2023
DomainStudio: 使用有限数据对领域驱动图像生成的扩散模型进行微调
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
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Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
TL;DR
本文提出了一种DomainStudio方法,用于将在大规模源数据集上预先训练的DDPMs调整到目标域,以在目标域中生成高质量且具有多样性的样本,从而实现无条件少样本图像生成。
Abstract
denoising diffusion probabilistic models
(DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale
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