{"total":47,"rows":[{"id":"2104.14540","title":"The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth","created":"2021-04-29","cited_by_count":190,"area":null},{"id":"2208.03543","title":"MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer","created":"2022-08-06","cited_by_count":136,"area":null},{"id":"2204.02091","title":"P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior","created":"2022-04-05","cited_by_count":107,"area":null},{"id":"2112.08122","title":"Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue","created":"2021-12-15","cited_by_count":72,"area":null},{"id":"2112.13047","title":"Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation","created":"2021-12-24","cited_by_count":63,"area":null},{"id":"2102.02629","title":"Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency","created":"2021-02-04","cited_by_count":58,"area":null},{"id":"2203.15174","title":"Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth","created":"2022-03-29","cited_by_count":48,"area":null},{"id":"2112.08177","title":"Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry","created":"2021-12-15","cited_by_count":46,"area":null},{"id":"2108.08574","title":"StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation","created":"2021-08-19","cited_by_count":36,"area":null},{"id":"2303.14840","title":"On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks","created":"2023-03-26","cited_by_count":26,"area":null},{"id":"2110.06853","title":"Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation","created":"2021-10-13","cited_by_count":24,"area":null},{"id":"2205.04565","title":"Is my Depth Ground-Truth Good Enough? HAMMER -- Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression","created":"2022-05-09","cited_by_count":19,"area":null},{"id":"2310.09739","title":"AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation","created":"2023-10-15","cited_by_count":15,"area":null},{"id":"2109.09628","title":"Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR","created":"2021-09-20","cited_by_count":13,"area":null},{"id":"2309.16019","title":"GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes","created":"2023-09-26","cited_by_count":13,"area":null},{"id":"2112.06782","title":"GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network","created":"2021-12-13","cited_by_count":12,"area":null},{"id":"2112.03045","title":"3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video","created":"2021-12-06","cited_by_count":11,"area":null},{"id":"2210.07181","title":"MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Pose","created":"2022-10-13","cited_by_count":10,"area":null},{"id":"2301.06715","title":"SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network","created":"2023-01-17","cited_by_count":10,"area":null},{"id":"2302.09789","title":"Self-Supervised Monocular Depth Estimation with Self-Reference Distillation and Disparity Offset Refinement","created":"2023-02-20","cited_by_count":10,"area":null},{"id":"2308.11776","title":"WS-SfMLearner: Self-supervised Monocular Depth and Ego-motion Estimation on Surgical Videos with Unknown Camera Parameters","created":"2023-08-22","cited_by_count":9,"area":null},{"id":"2311.07166","title":"NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion","created":"2023-11-13","cited_by_count":9,"area":null},{"id":"2508.04928","title":"Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens","created":"2025-08-06","cited_by_count":9,"area":null},{"id":"2205.08780","title":"Visual Attention-based Self-supervised Absolute Depth Estimation using Geometric Priors in Autonomous Driving","created":"2022-05-18","cited_by_count":8,"area":null},{"id":"2302.09922","title":"Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision","created":"2023-02-20","cited_by_count":8,"area":null},{"id":"2303.07264","title":"A Surface-normal Based Neural Framework for Colonoscopy Reconstruction","created":"2023-03-13","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":"2111.10371","title":"ColDE: A Depth Estimation Framework for Colonoscopy Reconstruction","created":"2021-11-19","cited_by_count":7,"area":null},{"id":"2104.00431","title":"Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks","created":"2021-04-01","cited_by_count":6,"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":"2207.08439","title":"Revisiting PatchMatch Multi-View Stereo for Urban 3D Reconstruction","created":"2022-07-18","cited_by_count":3,"area":null},{"id":"2312.04530","title":"Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation","created":"2023-12-07","cited_by_count":3,"area":null},{"id":"2103.00853","title":"ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation","created":"2021-03-01","cited_by_count":2,"area":null},{"id":"2107.13800","title":"CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation","created":"2021-07-29","cited_by_count":2,"area":null},{"id":"2203.16057","title":"Self-supervised 360$^{\\circ}$ Room Layout Estimation","created":"2022-03-30","cited_by_count":2,"area":null},{"id":"2205.08089","title":"Efficient Stereo Depth Estimation for Pseudo LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder","created":"2022-05-17","cited_by_count":2,"area":null},{"id":"2209.08747","title":"On Robust Cross-View Consistency in Self-Supervised Monocular Depth Estimation","created":"2022-09-19","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":"2105.12186","title":"Self-Guided Instance-Aware Network for Depth Completion and Enhancement","created":"2021-05-25","cited_by_count":1,"area":null},{"id":"2106.05525","title":"3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training","created":"2021-06-10","cited_by_count":1,"area":null},{"id":"2601.01188","title":"DST-Calib: A Dual-Path, Self-Supervised, Target-Free LiDAR-Camera Extrinsic Calibration Network","created":"2026-01-03","cited_by_count":1,"area":null},{"id":"2605.08320","title":"Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2112.13925","title":"Improving Depth Estimation using Location Information","created":"2021-12-27","cited_by_count":0,"area":null},{"id":"2207.02972","title":"Learning Invariant World State Representations with Predictive Coding","created":"2022-07-06","cited_by_count":0,"area":null},{"id":"2301.02092","title":"DepthP+P: Metric Accurate Monocular Depth Estimation using Planar and Parallax","created":"2023-01-05","cited_by_count":0,"area":null},{"id":"2404.03190","title":"Adaptive Discrete Disparity Volume for Self-supervised Monocular Depth Estimation","created":"2024-04-04","cited_by_count":0,"area":null},{"id":"2411.17790","title":"Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors","created":"2024-11-26","cited_by_count":0,"area":null}],"next_cursor":null}