Generative Multi-Adversarial Networks

5 Nov 2016Ishan DurugkarIan GempSridhar Mahadevan

Generative adversarial networks (GANs) are a framework for producing a generative model by way of a two-player minimax game. In this paper, we propose the \emph{Generative Multi-Adversarial Network} (GMAN), a framework that extends GANs to multiple discriminators... (read more)

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Results from the Paper


Ranked #25 on Image Generation on CIFAR-10 (Inception score metric)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Image Generation CIFAR-10 GMAN Inception score 6.00 # 25

Methods used in the Paper


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