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MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein
  Gradient Flows

MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows

2 February 2023
Mingxuan Yi
Zhanxing Zhu
Song Liu
    GAN
ArXivPDFHTML

Papers citing "MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows"

11 / 11 papers shown
Title
Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance
Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance
Christophe Vauthier
Quentin Mérigot
Anna Korba
42
0
0
10 Feb 2025
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
Tianwei Yin
Qiang Zhang
Richard Zhang
William T. Freeman
F. Durand
Eli Shechtman
Xun Huang
VGen
DiffM
81
5
0
10 Dec 2024
Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow
  Perspective
Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow Perspective
Jia-Jie Zhu
68
1
0
31 Oct 2024
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
Shengyuan Zhang
Ling Yang
Z. Li
An Zhao
Chenye Meng
Changyuan Yang
Guang Yang
Zhiyuan Yang
Lingyun Sun
32
0
0
28 Aug 2024
Forward-Euler time-discretization for Wasserstein gradient flows can be
  wrong
Forward-Euler time-discretization for Wasserstein gradient flows can be wrong
Yewei Xu
Qin Li
29
1
0
12 Jun 2024
Improved Distribution Matching Distillation for Fast Image Synthesis
Improved Distribution Matching Distillation for Fast Image Synthesis
Tianwei Yin
Michael Gharbi
Taesung Park
Richard Zhang
Eli Shechtman
Frédo Durand
William T. Freeman
DiffM
44
94
0
23 May 2024
One-step Diffusion with Distribution Matching Distillation
One-step Diffusion with Distribution Matching Distillation
Tianwei Yin
Michael Gharbi
Richard Zhang
Eli Shechtman
Frédo Durand
William T. Freeman
Taesung Park
DiffM
124
219
0
30 Nov 2023
Bridging the Gap Between Variational Inference and Wasserstein Gradient
  Flows
Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows
Mingxuan Yi
Song Liu
DRL
27
8
0
31 Oct 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models
Unifying GANs and Score-Based Diffusion as Generative Particle Models
Jean-Yves Franceschi
Mike Gartrell
Ludovic Dos Santos
Thibaut Issenhuth
Emmanuel de Bezenac
Mickaël Chen
A. Rakotomamonjy
DiffM
18
20
0
25 May 2023
Minimizing $f$-Divergences by Interpolating Velocity Fields
Minimizing fff-Divergences by Interpolating Velocity Fields
Song Liu
Jiahao Yu
J. Simons
Mingxuan Yi
Mark Beaumont
26
2
0
24 May 2023
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
282
10,354
0
12 Dec 2018
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