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May, 2024
基于得分的生成模型与自适应动量
Score-based Generative Models with Adaptive Momentum
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Ziqing Wen, Xiaoge Deng, Ping Luo, Tao Sun, Dongsheng Li
TL;DR
通过引入适应性动量采样,有效加速了转换过程,同时在小样本步骤中产生更加逼真的图像/图表,并在图像和图表生成任务中获得了有竞争力的评分。
Abstract
score-based generative models
have demonstrated significant practical success in data-generating tasks. The models establish a
diffusion process
that perturbs the ground truth data to Gaussian noise and then lear
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