% Key papers for Inverse imaging with learned priors (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2016_single_11866,
  title = {{Single-Image Crowd Counting via Multi-Column Convolutional Neural Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_ista_13199,
  title = {{ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_ISTA-Net_Interpretable_Optimization-Inspired_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_reconnet_11797,
  title = {{ReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2021_see_17835,
  title = {{See Through Gradients: Image Batch Recovery via GradInversion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_large_17245,
  title = {{Large-Capacity Image Steganography Based on Invertible Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_revisiting_14741,
  title = {{Revisiting Perspective Information for Efficient Crowd Counting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_fast_15532,
  title = {{Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_distortion_15425,
  title = {{Distortion Agnostic Deep Watermarking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2017_an_103951,
  title = {{An Artificial Agent for Robust Image Registration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11230},
}

@inproceedings{iclr2019_deep_29225,
  title = {{Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/973},
}

@inproceedings{cvpr2019_scalable_14769,
  title = {{Scalable Convolutional Neural Network for Image Compressed Sensing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_robust_19756,
  title = {{Robust Invertible Image Steganography}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_wire_22555,
  title = {{WIRE: Wavelet Implicit Neural Representations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22421},
}

@inproceedings{cvpr2018_single_13590,
  title = {{Single-Image Depth Estimation Based on Fourier Domain Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Lee_Single-Image_Depth_Estimation_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_dudornet_15440,
  title = {{DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{iclr2022_solving_31802,
  title = {{Solving Inverse Problems in Medical Imaging with Score-Based Generative Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/7035},
}

@inproceedings{cvpr2017_a_12028,
  title = {{A Unified Approach of Multi-Scale Deep and Hand-Crafted Features for Defocus Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{aaai2020_shallow_103741,
  title = {{Shallow Feature Based Dense Attention Network for Crowd Counting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6848},
}

@inproceedings{neurips2018_neural_57433,
  title = {{Neural Proximal Gradient Descent for Compressive Imaging}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11910},
}

@inproceedings{cvpr2020_grappanet_15620,
  title = {{GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2024_atlantis_22787,
  title = {{Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29435},
}

@inproceedings{cvpr2024_crowddiff_23066,
  title = {{CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31540},
}

@inproceedings{cvpr2024_cpp_22932,
  title = {{CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive Sensing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30767},
}

@inproceedings{cvpr2024_purified_24545,
  title = {{Purified and Unified Steganographic Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30358},
}

@inproceedings{cvpr2024_equivariant_23385,
  title = {{Equivariant Plug-and-Play Image Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29992},
}

@inproceedings{cvpr2024_iirp_23745,
  title = {{IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30704},
}

@inproceedings{cvpr2025_using_28036,
  title = {{Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34025},
}

@inproceedings{cvpr2025_hunet_26481,
  title = {{HUNet: Homotopy Unfolding Network for Image Compressive Sensing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32480},
}

@inproceedings{cvpr2025_sampling_27568,
  title = {{Sampling Innovation-Based Adaptive Compressive Sensing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34213},
}

@inproceedings{aaai2024_multi_6685,
  title = {{Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28294},
}

@inproceedings{aaai2025_deep_8678,
  title = {{Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34040},
}

@inproceedings{cvpr2025_a_25377,
  title = {{A Unified Model for Compressed Sensing MRI Across Undersampling Patterns}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34896},
}

@inproceedings{cvpr2024_residual_24622,
  title = {{Residual Learning in Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31282},
}

@inproceedings{aaai2025_complex_8472,
  title = {{Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34042},
}

@inproceedings{iclr2024_a_33930,
  title = {{A Plug-and-Play Image Registration Network}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19145},
}

@inproceedings{neurips2024_leveraging_71229,
  title = {{Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96011},
}

@inproceedings{aaai2025_plug_10314,
  title = {{Plug-and-Play Tri-Branch Invertible Block for Image Rescaling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32177},
}

@inproceedings{neurips2024_learning_71409,
  title = {{Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95843},
}

@inproceedings{neurips2025_npn_76149,
  title = {{NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=G67ZNmeWJ5},
}

@inproceedings{cvpr2026_cryosense_97102,
  title = {{cryoSENSE: Compressive Sensing Enables High-throughput Microscopy with Sparse and Generative Priors on the Protein Cryo-EM Image Manifold}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Shabeeb_cryoSENSE_Compressive_Sensing_Enables_High-throughput_Microscopy_with_Sparse_and_Generative_CVPR_2026_paper.html},
}