Refining Deep Generative Models via Discriminator Gradient Flow

1 December 2020

Papers citing "Refining Deep Generative Models via Discriminator Gradient Flow"

10 / 10 papers shown

Title
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 48 2 0 03 Sep 2023
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 62 1,135 0 16 Jun 2020
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling Tong Che Ruixiang Zhang Jascha Narain Sohl-Dickstein Hugo Larochelle Liam Paull Yuan Cao Yoshua Bengio DiffM DRL 32 113 0 12 Mar 2020
A Characteristic Function Approach to Deep Implicit Generative Modeling Abdul Fatir Ansari Jonathan Scarlett Harold Soh VLM GAN 21 39 0 16 Sep 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 99 3,803 0 12 Jul 2019
Metropolis-Hastings Generative Adversarial Networks Ryan D. Turner Jane Hung Eric Frank Yunus Saatci J. Yosinski GAN 18 98 0 28 Nov 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 144 3,110 0 09 Jul 2018
Stein Variational Gradient Descent as Gradient Flow Qiang Liu OT 47 274 0 25 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 25 9,509 0 31 Mar 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 247 8,999 0 10 Jun 2016