Self-Attention Generative Adversarial Networks

arXiv 2018 Han ZhangIan GoodfellowDimitris MetaxasAugustus Odena

In this paper, we propose the Self-Attention Generative Adversarial Network (SAGAN) which allows attention-driven, long-range dependency modeling for image generation tasks. Traditional convolutional GANs generate high-resolution details as a function of only spatially local points in lower-resolution feature maps... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Conditional Image Generation ImageNet 128x128 Self-attention FID 18.65 # 8
Inception score 52.52 # 7

Methods used in the Paper