% Key papers for Learning-based image quality assessment (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2020_metaiqa_15886,
  title = {{MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2018_generalisation_57158,
  title = {{Generalisation in humans and deep neural networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11725},
}

@inproceedings{cvpr2020_from_15569,
  title = {{From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_perceptual_16030,
  title = {{Perceptual Quality Assessment of Smartphone Photography}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_pieapp_13469,
  title = {{PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Prashnani_PieAPP_Perceptual_Image-Error_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_deep_12158,
  title = {{Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_hallucinated_13179,
  title = {{Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Lin_Hallucinated-IQA_No-Reference_Image_CVPR_2018_paper.html},
}

@inproceedings{cvpr2021_on_17530,
  title = {{On Feature Normalization and Data Augmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2023_re_21987,
  title = {{Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21465},
}

@inproceedings{cvpr2018_blind_12871,
  title = {{Blind Predicting Similar Quality Map for Image Quality Assessment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Pan_Blind_Predicting_Similar_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_group_11580,
  title = {{Group MAD Competition - A New Methodology to Compare Objective Image Quality Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2022_personalized_19569,
  title = {{Personalized Image Aesthetics Assessment With Rich Attributes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_cr_20553,
  title = {{CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21687},
}

@inproceedings{aaai2023_data_3405,
  title = {{Data-Efficient Image Quality Assessment with Attention-Panel Decoder}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25302},
}

@inproceedings{aaai2018_predicting_100322,
  title = {{Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11286},
}

@inproceedings{cvpr2020_deep_15350,
  title = {{Deep Degradation Prior for Low-Quality Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2024_boosting_22864,
  title = {{Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30304},
}

@inproceedings{aaai2022_content_1871,
  title = {{Content-Variant Reference Image Quality Assessment via Knowledge Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/03134-content-variant-reference-image-quality-assessment-via-knowledge-distillation/},
}

@inproceedings{aaai2024_transformer_7641,
  title = {{Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28285},
}

@inproceedings{cvpr2025_teaching_27833,
  title = {{Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34854},
}

@inproceedings{cvpr2024_clib_22912,
  title = {{CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29781},
}

@inproceedings{iclr2024_brain_33588,
  title = {{Brain decoding: toward real-time reconstruction of visual perception}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19487},
}

@inproceedings{cvpr2024_blind_22853,
  title = {{Blind Image Quality Assessment Based on Geometric Order Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30206},
}

@inproceedings{cvpr2024_psychometry_24543,
  title = {{Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31536},
}

@inproceedings{cvpr2025_toward_27889,
  title = {{Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality Assumption}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33709},
}

@inproceedings{neurips2024_adaptive_73736,
  title = {{Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93763},
}

@inproceedings{neurips2025_visualquality_79930,
  title = {{VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=uL7lCOHtiZ},
}

@inproceedings{aaai2024_cutfreq_5541,
  title = {{CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27868},
}

@inproceedings{cvpr2025_the_27853,
  title = {{The Art of Deception: Color Visual Illusions and Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32711},
}

@inproceedings{aaai2025_airradar_8075,
  title = {{AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35069},
}

@inproceedings{neurips2024_rethinking_74641,
  title = {{Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/92952},
}

@inproceedings{aaai2026_mitigating_100418,
  title = {{Mitigating Perception Bias: A Training-Free Approach to Enhance LMM for Image Quality Assessment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37265},
}

@inproceedings{aaai2026_fine_104319,
  title = {{Fine-grained Image Quality Assessment for Perceptual Image Restoration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37846},
}

@inproceedings{icml2024_adaptive_44165,
  title = {{Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34287},
}

@inproceedings{aaai2026_thinking_100472,
  title = {{Thinking Aesthetics Assessment of Image Color Temperature: Models, Datasets and Benchmarks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37319},
}

@inproceedings{neurips2025_towards_80460,
  title = {{Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=zlRvBwWFII},
}

@inproceedings{neurips2026_fomo_93417,
  title = {{FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152890},
}