% Key papers for Learned optical flow estimation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2017_gms_12298,
  title = {{GMS: Grid-based Motion Statistics for Fast, Ultra-Robust Feature Correspondence}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_unsupervised_14975,
  title = {{Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_end_13072,
  title = {{End-to-End Flow Correlation Tracking With Spatial-Temporal Attention}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhu_End-to-End_Flow_Correlation_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_learning_12408,
  title = {{Learning Motion Patterns in Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2020_fastdvdnet_15538,
  title = {{FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_deep_14022,
  title = {{Deep Flow-Guided Video Inpainting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_end_13074,
  title = {{End-to-End Learning of Motion Representation for Video Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Fan_End-to-End_Learning_of_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_supervision_13626,
  title = {{Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Dong_Supervision-by-Registration_An_Unsupervised_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_robust_13544,
  title = {{Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_Robust_Video_Content_CVPR_2018_paper.html},
}

@inproceedings{aaai2020_spatio_103609,
  title = {{Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6697},
}

@inproceedings{cvpr2020_cascaded_15240,
  title = {{Cascaded Deep Video Deblurring Using Temporal Sharpness Prior}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_towards_20069,
  title = {{Towards an End-to-End Framework for Flow-Guided Video Inpainting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_frame_14222,
  title = {{Frame-Consistent Recurrent Video Deraining With Dual-Level Flow}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2023_transflow_22407,
  title = {{TransFlow: Transformer As Flow Learner}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22515},
}

@inproceedings{cvpr2018_free_13130,
  title = {{Free Supervision From Video Games}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Krahenbuhl_Free_Supervision_From_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_learning_15790,
  title = {{Learning Video Stabilization Using Optical Flow}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2017_slow_12644,
  title = {{Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2021_smurf_17801,
  title = {{SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_arvo_16556,
  title = {{ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_robust_14748,
  title = {{Robust Video Stabilization by Optimization in CNN Weight Space}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2024_memflow_24131,
  title = {{MemFlow: Optical Flow Estimation and Prediction with Memory}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30462},
}

@inproceedings{cvpr2024_dense_23144,
  title = {{Dense Optical Tracking: Connecting the Dots}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30476},
}

@inproceedings{cvpr2024_blur_22855,
  title = {{Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30677},
}

@inproceedings{cvpr2025_dpflow_25836,
  title = {{DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32612},
}

@inproceedings{cvpr2024_flowtrack_23489,
  title = {{FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30551},
}

@inproceedings{cvpr2024_efficient_23332,
  title = {{Efficient Meshflow and Optical Flow Estimation from Event Cameras}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31395},
}

@inproceedings{cvpr2024_ocai_24308,
  title = {{OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29876},
}

@inproceedings{aaai2025_dancefix_8632,
  title = {{DanceFix: An Exploration in Group Dance Neatness Assessment Through Fixing Abnormal Challenges of Human Pose}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32959},
}

@inproceedings{cvpr2024_turb_25094,
  title = {{Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30708},
}

@inproceedings{neurips2024_streamflow_71281,
  title = {{StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95965},
}

@inproceedings{aaai2025_m2flow_9824,
  title = {{M2Flow: A Motion Information Fusion Framework for Enhanced Unsupervised Optical Flow Estimation in Autonomous Driving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32767},
}

@inproceedings{cvpr2025_edcflow_26054,
  title = {{EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33601},
}

@inproceedings{neurips2025_deltaflow_77381,
  title = {{DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=T9qNDtvAJX},
}

@inproceedings{neurips2025_a_79279,
  title = {{A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=nlQRra0OLH},
}

@inproceedings{neurips2025_injecting_79368,
  title = {{Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=oaWpRaZ4jj},
}

@inproceedings{iclr2024_semantic_33800,
  title = {{Semantic Flow: Learning Semantic Fields of Dynamic Scenes from Monocular Videos}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19275},
}

@inproceedings{neurips2025_sam2flow_79661,
  title = {{SAM2Flow: Interactive Optical Flow Estimation with Dual Memory for in vivo Microcirculation Analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=rbr2mMSBua},
}

@inproceedings{iclr2025_depth_82989,
  title = {{Depth Any Video with Scalable Synthetic Data}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/32068},
}

@inproceedings{iclr2026_worldtree_88422,
  title = {{WorldTree: Towards 4D Dynamic Worlds from Monocular Video using Tree-Chains}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=mVo6cyFR6C},
}

@inproceedings{neurips2026_libra_93365,
  title = {{LiBrA-Net: Lie-Algebraic Bilateral Affine Fields for Real-Time 4K Video Dehazing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/154860},
}