mlsanityData to 7 Oct 2026

Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors

arXiv 2311.18002 ↗First posted 29 Nov 2023astro-ph.IM cs.CVcited by 2

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Abstract (arXiv)

Examining the detailed structure of galaxy populations provides valuable insights into their formation and evolution mechanisms. Significant barriers to such analysis are the non-trivial noise properties of real astronomical images and the point spread function (PSF) which blurs structure. Here we present a framework which combines recent advances in score-based likelihood characterization and diffusion model priors to perform a Bayesian analysis of image deconvolution. The method, when applied to minimally processed Hubble Space Telescope (HST) data, recovers structures which have otherwise only become visible in next-generation James Webb Space Telescope (JWST) imaging.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 18 of its 86 references that are in the map. First posted on arXiv 29 Nov 2023.

Builds on

18 of 86 references.

References · 18

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  3. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  4. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
  5. 2022Elucidating the Design Space of Diffusion-Based Generative Modelscited by 2,994
  6. 2022Diffusion Posterior Sampling for General Noisy Inverse Problemscited by 1,375
  7. 2020Improved Techniques for Training Score-Based Generative Modelscited by 1,036
  8. 2021Maximum Likelihood Training of Score-Based Diffusion Modelscited by 670
  9. 2021Solving Inverse Problems in Medical Imaging with Score-Based Generative Modelscited by 514
  10. 2022Diffusion models as plug-and-play priorscited by 230
  11. 2023Score-Based Diffusion Models as Principled Priors for Inverse Imagingcited by 126
  12. 2023Score-based Data Assimilationcited by 91
6 more
  1. 2021Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxiescited by 40
  2. 2021Realistic galaxy image simulation via score-based generative modelscited by 24
  3. 2022Posterior samples of source galaxies in strong gravitational lenses with score-based priorscited by 20
  4. 2022Probabilistic Mass Mapping with Neural Score Estimationcited by 17
  5. 2022Deep Learning-based galaxy image deconvolutioncited by 3
  6. 2023Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems using Recurrent Inference Machinescited by 1

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Citing papers per year: 2024: 1; 2025: 1.

2 papers.

  1. 2024PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimationcited by 8
  2. 2025Blind Strong Gravitational Lensing Inversion: Joint Inference of Source and Lens Mass with Score-Based Modelscited by 2

Similar, not cited

Close in wording, no citation either way

  1. 2024Bayesian Deconvolution of Astronomical Images with Diffusion Models: Quantifying Prior-Driven Features in Reconstructions
  2. 2023Diffusion Models for Probabilistic Deconvolution of Galaxy Images
  3. 2026Generative Diffusion Priors for 3D Mapping of the Dark Universe
  4. 2025IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors
  5. 2026Strong Gravitational Lensing Posterior Sampling in Pixel-Space Using Diffusion Models and Recurrent Inference Machines
  6. 2025A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
  7. 2026Optimizing Diffusion Priors in Image Reconstruction from a Single Observation
  8. 2026Bridging data-driven priors via the score function for posterior sampling -- Comparative review and experimental study