compressive sensing

Beyond Single Solution: Multi-Hypothesis Deep Unfolding Network for Image Compressive Sensing CVPR 2026 cryoSENSE: Compressive Sensing Enables High-throughput Microscopy with Sparse and Generative Priors on the Protein Cryo-EM Image Manifold CVPR 2026 Multi-Scale Gradient-Guided Unrolling Architecture with Adaptive Mamba for Compressive Sensing CVPR 2026 Common Learning Constraints Alter Interpretations of Direct Preference Optimization AISTATS 2025 CONGO: Compressive Online Gradient Optimization ICLR 2025 HUNet: Homotopy Unfolding Network for Image Compressive Sensing CVPR 2025 Latent Space Imaging CVPR 2025 Sampling Innovation-Based Adaptive Compressive Sensing CVPR 2025 Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction AAAI 2025 Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement ICLR 2025 Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing CVPR 2025 Block Image Compressive Sensing with Local and Global Information Interaction AAAI 2024 CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive Sensing CVPR 2024 Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations NeurIPS 2024 Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images ECCV 2024 In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging CVPR 2024 Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks AAAI 2024 Reconstruction-free Cascaded Adaptive Compressive Sensing CVPR 2024 Revisiting RIP Guarantees for Sketching Operators on Mixture Models JMLR 2024 Sparse Bayesian Generative Modeling for Compressive Sensing NeurIPS 2024 SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction CVPR 2024 UFC-Net: Unrolling Fixed-point Continuous Network for Deep Compressive Sensing CVPR 2024 Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms NeurIPS 2024 Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models ICLR 2023 Graph-based Semi-supervised Local Clustering with Few Labeled Nodes IJCAI 2023