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Realistic galaxy image simulation via score-based generative models
v1v2 (latest)

Realistic galaxy image simulation via score-based generative models

Monthly notices of the Royal Astronomical Society (MNRAS), 2021
2 November 2021
Michael J. Smith
James E. Geach
Ryan A. Jackson
Nikhil Arora
C. Stone
Stéphane Courteau
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Realistic galaxy image simulation via score-based generative models"

20 / 20 papers shown
Neural Posterior Estimation for Cataloging Astronomical Images from the Legacy Survey of Space and Time
Neural Posterior Estimation for Cataloging Astronomical Images from the Legacy Survey of Space and Time
Yicun Duan
Xinyue Li
Camille Avestruz
Jeffrey Regier
LSST Dark Energy Science Collaboration
139
0
0
17 Oct 2025
The Platonic Universe: Do Foundation Models See the Same Sky?
The Platonic Universe: Do Foundation Models See the Same Sky?
UniverseTBD
Kshitij Duraphe
Michael J. Smith
Shashwat Sourav
John F. Wu
140
1
0
23 Sep 2025
Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation
Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation
Chenrui Ma
Zechang Sun
Tao Jing
Zheng Cai
Yuan-Sen Ting
Song Huang
Mingyu Li
DiffM
125
0
0
19 Jun 2025
Mapping Galaxy Images Across Ultraviolet, Visible and Infrared Bands Using Generative Deep Learning
Mapping Galaxy Images Across Ultraviolet, Visible and Infrared Bands Using Generative Deep LearningAstrophysical Journal (ApJ), 2025
Youssef Zaazou
Alex Bihlo
Terrence S. Tricco
124
3
0
28 Jan 2025
Nested Diffusion Models Using Hierarchical Latent Priors
Nested Diffusion Models Using Hierarchical Latent PriorsComputer Vision and Pattern Recognition (CVPR), 2024
Xiao Zhang
Ruoxi Jiang
Rebecca Willett
Michael Maire
BDLDiffM
402
2
0
08 Dec 2024
Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing
  Nuclear Fusion with Diffusion Models
Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024
Chuan Liu
Chunshu Wu
Shihui Cao
Mingkai Chen
James Liang
...
Michael C. Huang
Chuang Ren
Dongfang Liu
Ying Nian Wu
Tong Geng
188
0
0
03 Aug 2024
Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems
Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems
Gabriel Missael Barco
Alexandre Adam
Connor Stone
Y. Hezaveh
Laurence Perreault Levasseur
OOD
328
7
0
24 Jul 2024
AstroPT: Scaling Large Observation Models for Astronomy
AstroPT: Scaling Large Observation Models for Astronomy
Michael J. Smith
Ryan J. Roberts
E. Angeloudi
M. Huertas-Company
311
8
0
23 May 2024
$ρ$-Diffusion: A diffusion-based density estimation framework for
  computational physics
ρρρ-Diffusion: A diffusion-based density estimation framework for computational physics
Maxwell X. Cai
Kin Long Kelvin Lee
DiffM
238
1
0
13 Dec 2023
Deep Learning Segmentation of Spiral Arms and Bars
Deep Learning Segmentation of Spiral Arms and Bars
Mike Walmsley
Ashley Spindler
266
3
0
05 Dec 2023
Bayesian Imaging for Radio Interferometry with Score-Based Priors
Bayesian Imaging for Radio Interferometry with Score-Based Priors
Noé Dia
M. J. Yantovski-Barth
Alexandre Adam
Micah Bowles
Pablo Lemos
A. Scaife
Y. Hezaveh
Laurence Perreault Levasseur
325
4
0
29 Nov 2023
Echoes in the Noise: Posterior Samples of Faint Galaxy Surface
  Brightness Profiles with Score-Based Likelihoods and Priors
Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and PriorsAstronomical Journal (AJ), 2023
Alexandre Adam
Connor Stone
Connor Bottrell
Ronan Legin
Y. Hezaveh
Laurence Perreault Levasseur
615
4
0
29 Nov 2023
Predicting the Radiation Field of Molecular Clouds using Denoising
  Diffusion Probabilistic Models
Predicting the Radiation Field of Molecular Clouds using Denoising Diffusion Probabilistic ModelsAstrophysical Journal (ApJ), 2023
Duo Xu
Stella S. R. Offner
R. Gutermuth
Michael Y. Grudić
D. Guszejnov
P. Hopkins
DiffMAI4CE
132
5
0
11 Sep 2023
SoK: Privacy-Preserving Data Synthesis
SoK: Privacy-Preserving Data SynthesisIEEE Symposium on Security and Privacy (IEEE S&P), 2023
Yuzheng Hu
Fan Wu
Yue Liu
Yunhui Long
Gonzalo Munilla Garrido
Chang Ge
Bolin Ding
David A. Forsyth
Yue Liu
Basel Alomair
532
59
0
05 Jul 2023
Multiscale Flow for Robust and Optimal Cosmological Analysis
Multiscale Flow for Robust and Optimal Cosmological AnalysisProceedings of the National Academy of Sciences of the United States of America (PNAS), 2023
B. Dai
U. Seljak
386
23
0
07 Jun 2023
Denoising Diffusion Probabilistic Models to Predict the Density of
  Molecular Clouds
Denoising Diffusion Probabilistic Models to Predict the Density of Molecular CloudsAstrophysical Journal (ApJ), 2023
Duo Xu
J. Tan
C. Hsu
Ye Zhu
DiffM
191
15
0
04 Apr 2023
Can denoising diffusion probabilistic models generate realistic
  astrophysical fields?
Can denoising diffusion probabilistic models generate realistic astrophysical fields?
N. Mudur
D. Finkbeiner
DiffM
214
18
0
22 Nov 2022
Learning to Kindle the Starlight
Learning to Kindle the Starlight
Yu Yuan
Jiaqi Wu
Lindong Wang
Zhongliang Jing
H. Leung
Shuyuan Zhu
Han Pan
DiffM
247
3
0
16 Nov 2022
Posterior samples of source galaxies in strong gravitational lenses with
  score-based priors
Posterior samples of source galaxies in strong gravitational lenses with score-based priors
Alexandre Adam
A. Coogan
Nikolay Malkin
Ronan Legin
Laurence Perreault Levasseur
Y. Hezaveh
Yoshua Bengio
DiffM
191
28
0
07 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks
  in astronomy
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomyRoyal Society Open Science (RSOS), 2022
Michael J. Smith
James E. Geach
292
51
0
07 Nov 2022
1
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