% Key papers for Self-supervised monocular depth (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2017_unsupervised_12721, title = {{Unsupervised Monocular Depth Estimation With Left-Right Consistency}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2018_unsupervised_13687, title = {{Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Mahjourian_Unsupervised_Learning_of_CVPR_2018_paper.html}, } @inproceedings{cvpr2020_3d_15049, title = {{3D Packing for Self-Supervised Monocular Depth Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2018_unsupervised_13688, title = {{Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhan_Unsupervised_Learning_of_CVPR_2018_paper.html}, } @inproceedings{cvpr2020_d3vo_15323, title = {{D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2024_repurposing_24620, title = {{Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31264}, } @inproceedings{cvpr2019_towards_14932, title = {{Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2019_learning_14432, title = {{Learning the Depths of Moving People by Watching Frozen People}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2019_learning_14407, title = {{Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2018_monocular_13384, title = {{Monocular Relative Depth Perception With Web Stereo Data Supervision}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Xian_Monocular_Relative_Depth_CVPR_2018_paper.html}, } @inproceedings{cvpr2021_learning_17315, title = {{Learning To Recover 3D Scene Shape From a Single Image}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2018_single_13589, title = {{Single View Stereo Matching}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Luo_Single_View_Stereo_CVPR_2018_paper.html}, } @inproceedings{cvpr2020_bifuse_15197, title = {{BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2016_dense_11489, title = {{Dense Monocular Depth Estimation in Complex Dynamic Scenes}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{cvpr2024_unidepth_25125, title = {{UniDepth: Universal Monocular Metric Depth Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31417}, } @inproceedings{cvpr2019_unos_14955, title = {{UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2022_p3depth_19533, title = {{P3Depth: Monocular Depth Estimation With a Piecewise Planarity Prior}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2020_self_16210, title = {{Self-Supervised Monocular Scene Flow Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2023_idisc_22603, title = {{iDisc: Internal Discretization for Monocular Depth Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22861}, } @inproceedings{cvpr2020_novel_15964, title = {{Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{aaai2024_sqldepth_7236, title = {{SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28383}, } @inproceedings{cvpr2024_patchfusion_24444, title = {{PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31084}, } @inproceedings{cvpr2024_adaptive_22725, title = {{Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29369}, } @inproceedings{cvpr2025_unik3d_27999, title = {{UniK3D: Universal Camera Monocular 3D Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32554}, } @inproceedings{cvpr2024_wordepth_25290, title = {{WorDepth: Variational Language Prior for Monocular Depth Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31310}, } @inproceedings{cvpr2025_depth_25896, title = {{Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32925}, } @inproceedings{iclr2025_depth_82660, title = {{Depth Pro: Sharp Monocular Metric Depth in Less Than a Second}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29138}, } @inproceedings{cvpr2024_elite360d_23352, title = {{Elite360D: Towards Efficient 360 Depth Estimation via Semantic- and Distance-Aware Bi-Projection Fusion}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29524}, } @inproceedings{cvpr2024_from_23526, title = {{From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31008}, } @inproceedings{cvpr2025_multi_27034, title = {{Multi-view Reconstruction via SfM-guided Monocular Depth Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32858}, } @inproceedings{neurips2024_depth_72501, title = {{Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94862}, } @inproceedings{cvpr2024_mind_24146, title = {{Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29549}, } @inproceedings{cvpr2024_mining_24149, title = {{Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29632}, } @inproceedings{cvpr2025_geodepth_26430, title = {{GeoDepth: From Point-to-Depth to Plane-to-Depth Modeling for Self-Supervised Monocular Depth Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33131}, } @inproceedings{cvpr2025_relative_27427, title = {{Relative Pose Estimation through Affine Corrections of Monocular Depth Priors}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32722}, } @inproceedings{neurips2024_dcdepth_70407, title = {{DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96698}, } @inproceedings{cvpr2025_monoinstance_26992, title = {{MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33581}, } @inproceedings{cvpr2025_helvipad_26467, title = {{HELVIPAD: A Real-World Dataset for Omnidirectional Stereo Depth Estimation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33139}, }