inverse problem

Jackpot: Approximating Uncertainty Domains with Adversarial Manifolds JMLR 2025 LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization ICCV 2025 Learning Regularization for Graph Inverse Problems AAAI 2025 Neural Approximate Mirror Maps for Constrained Diffusion Models ICLR 2025 Noise Conditional Variational Score Distillation ICML 2025 OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems AAAI 2025 Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems ICLR 2025 PIED: Physics-Informed Experimental Design for Inverse Problems ICLR 2025 PnP-Flow: Plug-and-Play Image Restoration with Flow Matching ICLR 2025 Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging CVPR 2025 Regularization by Texts for Latent Diffusion Inverse Solvers ICLR 2025 Reversing Flow for Image Restoration CVPR 2025 Robust Unfolding Network for HDR Imaging with Modulo Cameras ICCV 2025 Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations ICLR 2025 SILO: Solving Inverse Problems with Latent Operators ICCV 2025 SITCOM: Step-wise Triple-Consistent Diffusion Sampling For Inverse Problems ICML 2025 Stochastic Deep Restoration Priors for Imaging Inverse Problems ICML 2025 Structure from Collision CVPR 2025 Training-Free Medical Image Inverses via Bi-Level Guided Diffusion Models WACV 2025 Uncovering Scaling Laws for Large Language Models via Inverse Problems EMNLP 2025 Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching ICCV 2025 Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction AAAI 2025 UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate ICLR 2025 Variational Control for Guidance in Diffusion Models ICML 2025 VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models ICCV 2025