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generative_model [2018/09/13 04:14]
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generative_model [2019/01/13 20:06] (current)
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  These results suggest that GANs do not conform well to the divergence minimization theory and form a much broader range of models than previously assumed.  These results suggest that GANs do not conform well to the divergence minimization theory and form a much broader range of models than previously assumed.
 +
 +https://​openreview.net/​pdf?​id=B1xsqj09Fm LARGE SCALE GAN TRAINING FOR
 +HIGH FIDELITY NATURAL IMAGE SYNTHESIS
 +
 +https://​arxiv.org/​abs/​1810.09136v1 Do Deep Generative Models Know What They Don't Know?
 +
 +https://​ieeexplore.ieee.org/​stamp/​stamp.jsp?​arnumber=8520899 https://​github.com/​ToniCreswell/​InvertingGAN Inverting the Generator of a Generative Adversarial Network
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 +https://​arxiv.org/​abs/​1811.03259 Bias and Generalization in Deep Generative Models: An Empirical Study
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 +https://​arxiv.org/​abs/​1807.06358v2 IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
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 +https://​openreview.net/​pdf?​id=HJxB5sRcFQ LAYOUTGAN: GENERATING GRAPHIC LAYOUTS
 +WITH WIREFRAME DISCRIMINATORS