BriefGPT.xyz
May, 2019
动态线性流生成模型
Generative Model with Dynamic Linear Flow
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Huadong Liao, Jiawei He, Kunxian Shu
TL;DR
本文介绍了一种新型动态线性流方法(DLF),该方法结合了流式建模的高效性与自回归建模的高密度性能,可用于生成复杂分布,并在ImageNet数据集上取得了最新的最佳性能结果。
Abstract
flow-based generative models
are a family of exact log-likelihood models with tractable sampling and
latent-variable inference
, hence conceptually attractive for modeling complex distributions. However, flow-base
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