% Key papers for Real-world super-resolution (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2016_real_11791,
  title = {{Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_learning_13311,
  title = {{Learning a Single Convolutional Super-Resolution Network for Multiple Degradations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Learning_a_Single_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_learning_15785,
  title = {{Learning Texture Transformer Network for Image Super-Resolution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_fsrnet_13092,
  title = {{FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_FSRNet_End-to-End_Learning_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_pulse_16015,
  title = {{PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_image_14305,
  title = {{Image Super-Resolution by Neural Texture Transfer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_closed_15253,
  title = {{Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_meta_15884,
  title = {{Meta-Transfer Learning for Zero-Shot Super-Resolution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_image_13210,
  title = {{Image Super-Resolution via Dual-State Recurrent Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Han_Image_Super-Resolution_via_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_attention_12071,
  title = {{Attention-Aware Face Hallucination via Deep Reinforcement Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_super_13625,
  title = {{Super-Resolving Very Low-Resolution Face Images With Supplementary Attributes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_Super-Resolving_Very_Low-Resolution_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_unpaired_16410,
  title = {{Unpaired Image Super-Resolution Using Pseudo-Supervision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2024_seesr_24765,
  title = {{SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30479},
}

@inproceedings{cvpr2021_masa_17372,
  title = {{MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_unsupervised_18096,
  title = {{Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_robust_16140,
  title = {{Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2020_cross_59620,
  title = {{Cross-Scale Internal Graph Neural Network for Image Super-Resolution}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17015},
}

@inproceedings{cvpr2020_eventsr_15496,
  title = {{EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2018_deep_104025,
  title = {{Deep Low-Resolution Person Re-Identification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12284},
}

@inproceedings{cvpr2021_towards_18021,
  title = {{Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2024_sgnet_7224,
  title = {{SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-resolution}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28395},
}

@inproceedings{cvpr2024_low_24038,
  title = {{Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30611},
}

@inproceedings{cvpr2024_disr_23167,
  title = {{DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31224},
}

@inproceedings{aaai2024_kedusr_6374,
  title = {{KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28513},
}

@inproceedings{aaai2024_noise_6783,
  title = {{Noise-Free Optimization in Early Training Steps for Image Super-resolution}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28073},
}

@inproceedings{cvpr2024_learning_23950,
  title = {{Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30415},
}

@inproceedings{aaai2024_intrinsic_6351,
  title = {{Intrinsic Phase-Preserving Networks for Depth Super Resolution}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27883},
}

@inproceedings{aaai2025_unsupervised_11182,
  title = {{Unsupervised Diffusion-Based Degradation Modeling for Real-World Super-Resolution}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32235},
}

@inproceedings{aaai2025_block_8275,
  title = {{Block-Based Multi-Scale Image Rescaling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32503},
}

@inproceedings{cvpr2024_deep_23128,
  title = {{Deep Generative Model based Rate-Distortion for Image Downscaling Assessment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31290},
}

@inproceedings{iclr2024_seal_33893,
  title = {{SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19182},
}

@inproceedings{neurips2025_pbr_75913,
  title = {{PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=DaNAqCT0XA},
}

@inproceedings{neurips2025_audio_76652,
  title = {{Audio Super-Resolution with Latent Bridge Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=LkA1yLshF8},
}

@inproceedings{iclr2026_the_87986,
  title = {{The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=hkF7ZM7fEp},
}

@inproceedings{neurips2026_degbins_92688,
  title = {{DegBins: Degradation-Driven Binning for Depth Super-Resolution}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/150704},
}

@inproceedings{cvpr2026_beyond_95821,
  title = {{Beyond the Ground Truth: Enhanced Supervision for Image Restoration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Ryou_Beyond_the_Ground_Truth_Enhanced_Supervision_for_Image_Restoration_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_raw_99148,
  title = {{RAW-Domain Degradation Models for Realistic Smartphone Super-Resolution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Mosleh_RAW-Domain_Degradation_Models_for_Realistic_Smartphone_Super-Resolution_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_continuous_101185,
  title = {{Continuous Degradation Modeling via Latent Flow Matching for Real-World Super-Resolution}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37486},
}

@inproceedings{aaai2026_event_105476,
  title = {{Event-Guided Super-Resolving Blurry Image via Asymmetric Integral Driven Consistency}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38232},
}