{"total":59,"rows":[{"id":"2211.05783","title":"Unifying Flow, Stereo and Depth Estimation","created":"2022-11-10","cited_by_count":275,"area":null},{"id":"2306.17253","title":"Towards Zero-Shot Scale-Aware Monocular Depth Estimation","created":"2023-06-29","cited_by_count":101,"area":null},{"id":"2208.10145","title":"STS: Surround-view Temporal Stereo for Multi-view 3D Detection","created":"2022-08-22","cited_by_count":53,"area":null},{"id":"2308.14713","title":"R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras","created":"2023-08-28","cited_by_count":39,"area":null},{"id":"2412.09072","title":"Cross-View Completion Models are Zero-shot Correspondence Estimators","created":"2024-12-12","cited_by_count":30,"area":null},{"id":"2304.08993","title":"Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes","created":"2023-04-18","cited_by_count":25,"area":null},{"id":"2205.11083","title":"Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation","created":"2022-05-23","cited_by_count":24,"area":null},{"id":"2503.20211","title":"Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors","created":"2025-03-26","cited_by_count":22,"area":null},{"id":"2303.03315","title":"MACARONS: Mapping And Coverage Anticipation with RGB Online Self-Supervision","created":"2023-03-06","cited_by_count":19,"area":null},{"id":"2304.03369","title":"EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation","created":"2023-04-06","cited_by_count":16,"area":null},{"id":"2304.03560","title":"DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium","created":"2023-04-07","cited_by_count":16,"area":null},{"id":"2304.14633","title":"CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction","created":"2023-04-28","cited_by_count":16,"area":null},{"id":"2212.02791","title":"Event-based Monocular Dense Depth Estimation with Recurrent Transformers","created":"2022-12-06","cited_by_count":14,"area":null},{"id":"2507.21045","title":"Reconstructing 4D Spatial Intelligence: A Survey","created":"2025-07-28","cited_by_count":14,"area":null},{"id":"2312.10118","title":"From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior","created":"2023-12-15","cited_by_count":13,"area":null},{"id":"2208.09170","title":"Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning","created":"2022-08-19","cited_by_count":12,"area":null},{"id":"2501.18804","title":"Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion","created":"2025-01-30","cited_by_count":12,"area":null},{"id":"2306.01596","title":"Two-View Geometry Scoring Without Correspondences","created":"2023-06-02","cited_by_count":11,"area":null},{"id":"2405.02004","title":"M${^2}$Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation","created":"2024-05-03","cited_by_count":10,"area":null},{"id":"2407.14126","title":"Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation","created":"2024-07-19","cited_by_count":9,"area":null},{"id":"2212.05315","title":"Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation","created":"2022-12-10","cited_by_count":8,"area":null},{"id":"2308.07225","title":"DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume","created":"2023-08-14","cited_by_count":8,"area":null},{"id":"2309.00933","title":"Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation","created":"2023-09-02","cited_by_count":8,"area":null},{"id":"2303.07759","title":"Adjacent-view Transformers for Supervised Surround-view Depth Estimation","created":"2023-03-14","cited_by_count":6,"area":null},{"id":"2407.09303","title":"ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion","created":"2024-07-12","cited_by_count":6,"area":null},{"id":"2510.09320","title":"Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation","created":"2025-10-10","cited_by_count":6,"area":null},{"id":"2210.02357","title":"Image Masking for Robust Self-Supervised Monocular Depth Estimation","created":"2022-10-05","cited_by_count":5,"area":null},{"id":"2304.02797","title":"DeLiRa: Self-Supervised Depth, Light, and Radiance Fields","created":"2023-04-06","cited_by_count":5,"area":null},{"id":"2311.02393","title":"Continual Learning of Unsupervised Monocular Depth from Videos","created":"2023-11-04","cited_by_count":5,"area":null},{"id":"2406.04999","title":"ProMotion: Prototypes As Motion Learners","created":"2024-06-07","cited_by_count":5,"area":null},{"id":"2603.17840","title":"Video Understanding: From Geometry and Semantics to Unified Models","created":"2026-03-18","cited_by_count":5,"area":null},{"id":"2301.03169","title":"A Study on the Generality of Neural Network Structures for Monocular Depth Estimation","created":"2023-01-09","cited_by_count":4,"area":null},{"id":"2308.10001","title":"AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization","created":"2023-08-19","cited_by_count":4,"area":null},{"id":"2402.11507","title":"MAL: Motion-Aware Loss with Temporal and Distillation Hints for Self-Supervised Depth Estimation","created":"2024-02-18","cited_by_count":4,"area":null},{"id":"2411.19717","title":"MonoPP: Metric-Scaled Self-Supervised Monocular Depth Estimation by Planar-Parallax Geometry in Automotive Applications","created":"2024-11-29","cited_by_count":4,"area":null},{"id":"2312.13066","title":"PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation","created":"2023-12-20","cited_by_count":3,"area":null},{"id":"2404.14908","title":"Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation","created":"2024-04-23","cited_by_count":3,"area":null},{"id":"2301.05871","title":"Dyna-DepthFormer: Multi-frame Transformer for Self-Supervised Depth Estimation in Dynamic Scenes","created":"2023-01-14","cited_by_count":2,"area":null},{"id":"2303.14628","title":"Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes","created":"2023-03-26","cited_by_count":2,"area":null},{"id":"2308.02716","title":"EndoDepthL: Lightweight Endoscopic Monocular Depth Estimation with CNN-Transformer","created":"2023-08-04","cited_by_count":2,"area":null},{"id":"2404.02678","title":"Independently Keypoint Learning for Small Object Semantic Correspondence","created":"2024-04-03","cited_by_count":2,"area":null},{"id":"2408.00361","title":"High-Precision Self-Supervised Monocular Depth Estimation with Rich-Resource Prior","created":"2024-08-01","cited_by_count":2,"area":null},{"id":"2303.01196","title":"STDepthFormer: Predicting Spatio-temporal Depth from Video with a Self-supervised Transformer Model","created":"2023-03-02","cited_by_count":1,"area":null},{"id":"2305.18706","title":"HQDec: Self-Supervised Monocular Depth Estimation Based on a High-Quality Decoder","created":"2023-05-30","cited_by_count":1,"area":null},{"id":"2307.12761","title":"LiDAR Meta Depth Completion","created":"2023-07-24","cited_by_count":1,"area":null},{"id":"2308.08715","title":"V-FUSE: Volumetric Depth Map Fusion with Long-Range Constraints","created":"2023-08-17","cited_by_count":1,"area":null},{"id":"2407.19166","title":"Revisit Self-supervised Depth Estimation with Local Structure-from-Motion","created":"2024-07-27","cited_by_count":1,"area":null},{"id":"2409.04082","title":"SDformerFlow: Spatiotemporal swin spikeformer for event-based optical flow estimation","created":"2024-09-06","cited_by_count":1,"area":null},{"id":"2507.13082","title":"Channel-wise Motion Features for Efficient Motion Segmentation","created":"2025-07-17","cited_by_count":1,"area":null},{"id":"2509.26008","title":"PFDepth: Heterogeneous Pinhole-Fisheye Joint Depth Estimation via Distortion-aware Gaussian-Splatted Volumetric Fusion","created":"2025-09-30","cited_by_count":1,"area":null},{"id":"2511.16428","title":"CylinderDepth: Cylindrical Spatial Attention for Multi-View Consistent Self-Supervised Surround Depth Estimation","created":"2025-11-20","cited_by_count":1,"area":null},{"id":"2207.06139","title":"Robust and accurate depth estimation by fusing LiDAR and Stereo","created":"2022-07-13","cited_by_count":0,"area":null},{"id":"2208.12903","title":"Neural Camera Models","created":"2022-08-27","cited_by_count":0,"area":null},{"id":"2304.12685","title":"Exploring the Mutual Influence between Self-Supervised Single-Frame and Multi-Frame Depth Estimation","created":"2023-04-25","cited_by_count":0,"area":null},{"id":"2310.04837","title":"Federated Self-Supervised Learning of Monocular Depth Estimators for Autonomous Vehicles","created":"2023-10-07","cited_by_count":0,"area":null},{"id":"2405.10885","title":"FA-Depth: Toward Fast and Accurate Self-supervised Monocular Depth Estimation","created":"2024-05-17","cited_by_count":0,"area":null},{"id":"2408.02245","title":"A Two-Stage Progressive Pre-training using Multi-Modal Contrastive Masked Autoencoders","created":"2024-08-05","cited_by_count":0,"area":null},{"id":"2509.22627","title":"CCNeXt: An Effective Self-Supervised Stereo Depth Estimation Approach","created":"2025-09-26","cited_by_count":0,"area":null},{"id":"2608.13102","title":"RbFT-Net: Rectify-Before-Fuse Temporal Radar Anchors for 4D Radar-Camera Depth Completion","created":"2026-08-13","cited_by_count":0,"area":null}],"next_cursor":null}