Adversarial score matching and improved sampling for image generation

11 Sep 2020Alexia Jolicoeur-MartineauRémi Piché-TailleferRémi Tachet des CombesIoannis Mitliagkas

Denoising score matching with Annealed Langevin Sampling (DSM-ALS) is a recent approach to generative modeling. Despite the convincing visual quality of samples, this method appears to perform worse than Generative Adversarial Networks (GANs) under the Fr\'echet Inception Distance, a popular metric for generative models... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Image Generation CIFAR-10 DSM-ALS FID 3.65 # 2

Methods used in the Paper


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