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May, 2023
RAPHAEL: 通过大规模的扩散路径混合进行文本到图像生成
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
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Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong...
TL;DR
本文介绍了一种基于Mixture-of-Experts的文本条件化图像扩散模型(RAPHAEL),其在图像质量和美感上优于现有的一些先进模型(包括Stable Diffusion、ERNIE-ViLG 2.0、DeepFloyd和DALL-E 2)
Abstract
text-to-image generation
has recently witnessed remarkable achievements. We introduce a text-conditional
image diffusion model
, termed RAPHAEL, to generate highly artistic images, which accurately portray the tex
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