ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.04382
  4. Cited By
Regularized Training of Intermediate Layers for Generative Models for
  Inverse Problems

Regularized Training of Intermediate Layers for Generative Models for Inverse Problems

8 March 2022
Sean Gunn
Jorio Cocola
Paul Hand
    GAN
ArXivPDFHTML

Papers citing "Regularized Training of Intermediate Layers for Generative Models for Inverse Problems"

6 / 6 papers shown
Title
Intermediate Layer Optimization for Inverse Problems using Deep
  Generative Models
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Giannis Daras
Joseph Dean
A. Jalal
A. Dimakis
DRL
171
82
0
15 Feb 2021
Solving Inverse Problems with a Flow-based Noise Model
Solving Inverse Problems with a Flow-based Noise Model
Jay Whang
Qi Lei
A. Dimakis
56
33
0
18 Mar 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
180
536
0
08 Mar 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
262
10,183
0
12 Dec 2018
Latent Convolutional Models
Latent Convolutional Models
ShahRukh Athar
E. Burnaev
Victor Lempitsky
DRL
BDL
SSL
32
19
0
16 Jun 2018
Stochastic seismic waveform inversion using generative adversarial
  networks as a geological prior
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
L. Mosser
O. Dubrule
M. Blunt
GAN
AI4CE
66
207
0
10 Jun 2018
1