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Mar, 2020
DLow:用于多样化人体动作预测的不同潜在变化的流
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
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Ye Yuan, Kris Kitani
TL;DR
提出了一种名为Diversifying Latent Flows(DLow)的深度生成模型的采样方法,该方法使用一组可学习的映射函数将单个随机变量映射到一组相关的潜变量,并将其解码成一组相关样本,以优化潜在的映射从而提高样本的多样性和准确性。
Abstract
deep generative models
are often used for human
motion prediction
as they are able to model multi-modal data distributions and characterize diverse human behavior. While much care has been taken into designing an
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