Generative Modeling by Estimating Gradients of the Data Distribution
Paper on a different approach to generative modeling. We can estimate gradients of the data distribution and sample with Langevin dynamics. No adversarial method and no approximation for tractable training. Record-breaking inception score of 8.91 on CIFAR-10.
Github: https://github.com/ermongroup/ncsn
ArXiV: https://arxiv.org/abs/1907.05600
#GAN #CIFAR #cv #dl
Paper on a different approach to generative modeling. We can estimate gradients of the data distribution and sample with Langevin dynamics. No adversarial method and no approximation for tractable training. Record-breaking inception score of 8.91 on CIFAR-10.
Github: https://github.com/ermongroup/ncsn
ArXiV: https://arxiv.org/abs/1907.05600
#GAN #CIFAR #cv #dl