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Spectral Regularization for Combating Mode Collapse in GANs

Spectral Regularization for Combating Mode Collapse in GANs

29 August 2019
Kanglin Liu
Wenming Tang
Fei Zhou
Guoping Qiu
    GAN
    DRL
ArXivPDFHTML

Papers citing "Spectral Regularization for Combating Mode Collapse in GANs"

12 / 12 papers shown
Title
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
Taisuke Kobayashi
71
2
0
29 Sep 2024
Deep Learning based Optical Image Super-Resolution via Generative
  Diffusion Models for Layerwise in-situ LPBF Monitoring
Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring
Francis Ogoke
Sumesh Kalambettu Suresh
Jesse Adamczyk
D. Bolintineanu
Anthony Garland
Michael J. Heiden
A. Farimani
32
0
0
20 Sep 2024
Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via
  Transformer-Based 360 Image Outpainting
Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360 Image Outpainting
Hao Ai
Zidong Cao
H. Lu
Chen Chen
Jiancang Ma
Pengyuan Zhou
Tae-Kyun Kim
Pan Hui
Lin Wang
40
3
0
19 Jan 2024
Stability Analysis Framework for Particle-based Distance GANs with
  Wasserstein Gradient Flow
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow
Chuqi Chen
Yue Wu
Yang Xiang
GAN
17
0
0
04 Jul 2023
Incomplete Multi-view Clustering via Diffusion Completion
Incomplete Multi-view Clustering via Diffusion Completion
Sifan Fang
DiffM
16
4
0
19 May 2023
Distribution Fitting for Combating Mode Collapse in Generative
  Adversarial Networks
Distribution Fitting for Combating Mode Collapse in Generative Adversarial Networks
Yanxiang Gong
Zhiwei Xie
Guozhen Duan
Z. Ma
M. Xie
GAN
OffRL
21
3
0
03 Dec 2022
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting
Zeyu Lu
Junjun Jiang
Jun Huang
Gang Wu
Xianming Liu
23
25
0
15 May 2022
Manifold Learning Benefits GANs
Manifold Learning Benefits GANs
Yao Ni
Piotr Koniusz
Richard I. Hartley
Richard Nock
GAN
31
16
0
23 Dec 2021
Gradient Normalization for Generative Adversarial Networks
Gradient Normalization for Generative Adversarial Networks
Yi-Lun Wu
Hong-Han Shuai
Zhi Rui Tam
H. Chiu
GAN
21
63
0
06 Sep 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs,
  Normalizing Flows, Energy-Based and Autoregressive Models
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
41
480
0
08 Mar 2021
Regularization Methods for Generative Adversarial Networks: An Overview
  of Recent Studies
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies
Minhyeok Lee
Junhee Seok
GAN
27
25
0
19 May 2020
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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