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What is: GLOW?

SourceGlow: Generative Flow with Invertible 1x1 Convolutions
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

GLOW is a type of flow-based generative model that is based on an invertible 1×11 \times 1 convolution. This builds on the flows introduced by NICE and RealNVP. It consists of a series of steps of flow, combined in a multi-scale architecture; see the Figure to the right. Each step of flow consists of Act Normalization followed by an invertible 1×11 \times 1 convolution followed by an affine coupling layer.