BriefGPT.xyz
Mar, 2022
极性抽样: 通过奇异值控制预训练生成网络的质量和多样性
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values
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Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk
TL;DR
本文提出了一种基于连续分段仿射样条的深层生成网络(DGN)输出空间分布的极性采样方法,该方法可以提高不同条件下DGN的生成质量和多样性。
Abstract
We present
polarity sampling
, a theoretically justified plug-and-play method for controlling the
generation quality
and
diversity
of pre-t
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