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

@inproceedings{cvpr2016_a_11367,
  title = {{A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_geonet_13154,
  title = {{GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Yin_GeoNet_Unsupervised_Learning_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_demon_12142,
  title = {{DeMoN: Depth and Motion Network for Learning Monocular Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_competitive_13951,
  title = {{Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2018_unflow_104017,
  title = {{UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12276},
}

@inproceedings{cvpr2018_fast_13104,
  title = {{Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Luo_Fast_and_Furious_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_event_13081,
  title = {{Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Maqueda_Event-Based_Vision_Meets_CVPR_2018_paper.html},
}

@inproceedings{aaai2019_depth_103381,
  title = {{Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4801},
}

@inproceedings{cvpr2018_a_12811,
  title = {{A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Gallego_A_Unifying_Contrast_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_simultaneous_11863,
  title = {{Simultaneous Optical Flow and Intensity Estimation From an Event Camera}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2017_event_12248,
  title = {{Event-Based Visual Inertial Odometry}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2021_back_16629,
  title = {{Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_deep_14035,
  title = {{Deep Rigid Instance Scene Flow}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_event_18783,
  title = {{Event-Aided Direct Sparse Odometry}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_raft_17686,
  title = {{RAFT-3D: Scene Flow Using Rigid-Motion Embeddings}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2017_optical_12520,
  title = {{Optical Flow in Mostly Rigid Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2020_eventcap_15495,
  title = {{EventCap: Monocular 3D Capture of High-Speed Human Motions Using an Event Camera}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_flowstep3d_17031,
  title = {{FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_upgrading_16430,
  title = {{Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_unsupervised_14968,
  title = {{Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2024_spatialtracker_24865,
  title = {{SpatialTracker: Tracking Any 2D Pixels in 3D Space}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31668},
}

@inproceedings{cvpr2025_megasam_26939,
  title = {{MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33202},
}

@inproceedings{cvpr2024_difflow3d_23171,
  title = {{DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31181},
}

@inproceedings{cvpr2024_icp_23741,
  title = {{ICP-Flow: LiDAR Scene Flow Estimation with ICP}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29700},
}

@inproceedings{aaai2025_gflow_9273,
  title = {{GFlow: Recovering 4D World from Monocular Video}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32847},
}

@inproceedings{cvpr2024_3d_22618,
  title = {{3D Feature Tracking via Event Camera}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30515},
}

@inproceedings{cvpr2025_stereo4d_27754,
  title = {{Stereo4D: Learning How Things Move in 3D from Internet Stereo Videos}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33910},
}

@inproceedings{cvpr2024_event_23395,
  title = {{Event-based Structure-from-Orbit}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31010},
}

@inproceedings{cvpr2024_promotion_24514,
  title = {{ProMotion: Prototypes As Motion Learners}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31001},
}

@inproceedings{cvpr2025_4dtam_25347,
  title = {{4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32594},
}

@inproceedings{neurips2025_ufm_77356,
  title = {{UFM: A Simple Path towards Unified Dense Correspondence with Flow}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Sv1pbyc8ZT},
}

@inproceedings{neurips2025_tapip3d_77642,
  title = {{TAPIP3D: Tracking Any Point in Persistent 3D Geometry}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=VzWjHxE8PF},
}

@inproceedings{cvpr2024_adfactory_22678,
  title = {{ADFactory: An Effective Framework for Generalizing Optical Flow with NeRF}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31853},
}

@inproceedings{cvpr2024_degrees_23138,
  title = {{Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30366},
}

@inproceedings{cvpr2025_full_26340,
  title = {{Full-DoF Egomotion Estimation for Event Cameras Using Geometric Solvers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33609},
}

@inproceedings{cvpr2025_shape_27654,
  title = {{Shape and Texture: What Influences Reliable Optical Flow Estimation?}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34131},
}

@inproceedings{aaai2024_transient_7646,
  title = {{Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27820},
}

@inproceedings{cvpr2025_zero_28178,
  title = {{Zero-Shot Monocular Scene Flow Estimation in the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35152},
}

@inproceedings{neurips2025_visual_77135,
  title = {{Visual Sync: Multi‑Camera Synchronization via Cross‑View Object Motion}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=QuG74VCsXF},
}

@inproceedings{aaai2025_oamaskflow_10139,
  title = {{OAMaskFlow: Occlusion-Aware Motion Mask for Scene Flow}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32696},
}