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. 2306.12776
  4. Cited By
A prior regularized full waveform inversion using generative diffusion
  models

A prior regularized full waveform inversion using generative diffusion models

22 June 2023
Fu Wang
Xinquan Huang
T. Alkhalifah
    DiffM
ArXivPDFHTML

Papers citing "A prior regularized full waveform inversion using generative diffusion models"

8 / 8 papers shown
Title
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
Matthias Chung
B. Peters
Michael Solomon
21
0
0
10 May 2025
Automatic Differentiation-based Full Waveform Inversion with Flexible
  Workflows
Automatic Differentiation-based Full Waveform Inversion with Flexible Workflows
Feng Liu
Haipeng Li
Guangyuan Zou
Junlun Li
63
2
0
30 Nov 2024
Physics and Deep Learning in Computational Wave Imaging
Physics and Deep Learning in Computational Wave Imaging
Youzuo Lin
Shihang Feng
J. Theiler
Yinpeng Chen
Umberto Villa
Jing Rao
John Greenhall
Cristian Pantea
M. Anastasio
B. Wohlberg
24
0
0
10 Oct 2024
Stochastic full waveform inversion with deep generative prior for
  uncertainty quantification
Stochastic full waveform inversion with deep generative prior for uncertainty quantification
Yuke Xie
Hervé Chauris
N. Desassis
29
0
0
07 Jun 2024
Controllable seismic velocity synthesis using generative diffusion
  models
Controllable seismic velocity synthesis using generative diffusion models
Fu Wang
Xinquan Huang
T. Alkhalifah
DiffM
19
4
0
09 Feb 2024
Auto-Linear Phenomenon in Subsurface Imaging
Auto-Linear Phenomenon in Subsurface Imaging
Yinan Feng
Yinpeng Chen
Peng Jin
Shihang Feng
Zicheng Liu
Youzuo Lin
22
6
0
27 Apr 2023
MLReal: Bridging the gap between training on synthetic data and real
  data applications in machine learning
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning
T. Alkhalifah
Hanchen Wang
O. Ovcharenko
OOD
36
63
0
11 Sep 2021
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
74
207
0
10 Jun 2018
1