Quantization of Generative Adversarial Networks for Efficient Inference:
a Methodological Study

Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study

31 August 2021

Alexander Fritzler

Dmitry Vetrov

Papers citing "Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study"

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Title
A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation Bo-Kyeong Kim Jaemin Kang Daeun Seo Hancheol Park Shinkook Choi Hyoung-Kyu Song Hyungshin Kim Sungsu Lim 19 0 0 02 Apr 2023
Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs Bo-Kyeong Kim Shinkook Choi Hancheol Park 13 4 0 29 Jun 2022
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 2017