Research map / Probabilistic and scientific modeling / Variational and generative sampling
Robust Compressed Sensing MRI with Deep Generative Priors
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| posterior sampling prior instead of E2E-VarNet under sampling mask shift | MRI reconstruction · fastMRI brain, horizontal mask | PSNR/SSIM | Helped |
| posterior sampling prior instead of ConvDecoder and E2E-VarNet under anatomy shift | MRI reconstruction · abdomen scans | PSNR/SSIM | Helped |
| posterior sampling prior instead of SSIM-trained baselines in-distribution | MRI reconstruction · fastMRI brain R=3,6 | SSIM | Hurt |
| posterior sampling prior instead of baselines in-distribution | MRI reconstruction · fastMRI brain R=3,6 | PSNR | Helped |
| posterior sampling prior vs others on knee scans | MRI reconstruction · fastMRI knee R=2,4 | PSNR/SSIM | Helped |
Closest papers by meaning
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- Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction (NeurIPS 2024 · similarity 0.87)
- Preconditioned Langevin Dynamics with Score-based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems (NeurIPS 2025 · similarity 0.86)
- How many measurements are enough? Bayesian recovery in inverse problems with general distributions (NeurIPS 2025 · similarity 0.86)
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