Research map / Probabilistic and scientific modeling / Variational and generative sampling
End-to-end reconstruction meets data-driven regularization for inverse problems
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add gradient-descent refinement with learned regularizer after unrolled reconstruction (ablation) | UAR · Mayo CT sparse-view | PSNR (dB): 34.35 -> 34.77 | Helped |
| add refinement step (ablation) | UAR · Mayo CT sparse-view | reconstruction time (ms): 252.7 -> 5863.3 | Hurt |
| increase lambda from 0.001 to 0.1 (ablation) | UAR · Mayo CT sparse-view | PSNR (dB): 21.59 -> 34.35 | Helped |
| increase lambda from 0.1 to 1.0 (ablation) | UAR · Mayo CT sparse-view | PSNR (dB): 34.35 -> 33.27 | Hurt |
| unrolled end-to-end UAR instead of AR variational optimization | unsupervised CT reconstruction · Mayo CT sparse-view | PSNR (dB): 33.84 -> 34.35 | Helped |
| unrolled end-to-end UAR instead of AR | unsupervised CT reconstruction · Mayo CT sparse-view | reconstruction time (ms): 22567.1 -> 252.7 | Helped |
Closest papers by meaning
- Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation (ICML 2024 · similarity 0.88)
- Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging (CVPR 2025 · similarity 0.88)
- DEALing with Image Reconstruction: Deep Attentive Least Squares (ICML 2025 · similarity 0.87)
- NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems (NeurIPS 2025 · similarity 0.85)
- QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction (CVPR 2024 · similarity 0.85)
- A Variational Perspective on Solving Inverse Problems with Diffusion Models (ICLR 2024 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.