{"total":403,"rows":[{"id":"2302.12288","title":"ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth","created":"2023-02-23","cited_by_count":657,"area":null},{"id":"2404.15506","title":"Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation","created":"2024-03-22","cited_by_count":395,"area":null},{"id":"2403.18913","title":"UniDepth: Universal Monocular Metric Depth Estimation","created":"2024-03-27","cited_by_count":382,"area":null},{"id":"2307.10984","title":"Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image","created":"2023-07-20","cited_by_count":365,"area":null},{"id":"2103.01100","title":"Categorical Depth Distribution Network for Monocular 3D Object Detection","created":"2021-03-01","cited_by_count":327,"area":null},{"id":"2104.04532","title":"Neural RGB-D Surface Reconstruction","created":"2021-04-09","cited_by_count":313,"area":null},{"id":"2204.01678","title":"MultiMAE: Multi-modal Multi-task Masked Autoencoders","created":"2022-04-04","cited_by_count":291,"area":null},{"id":"2108.06417","title":"Is Pseudo-Lidar needed for Monocular 3D Object detection?","created":"2021-08-13","cited_by_count":249,"area":null},{"id":"2502.20110","title":"UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler","created":"2025-02-27","cited_by_count":173,"area":null},{"id":"2103.10957","title":"Efficient Visual Pretraining with Contrastive Detection","created":"2021-03-19","cited_by_count":150,"area":null},{"id":"2403.17822","title":"DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing","created":"2024-03-26","cited_by_count":138,"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":"2103.12091","title":"Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction","created":"2021-03-22","cited_by_count":125,"area":null},{"id":"2203.05328","title":"Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking","created":"2022-03-10","cited_by_count":119,"area":null},{"id":"2203.14211","title":"DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation","created":"2022-03-27","cited_by_count":118,"area":null},{"id":"2306.01923","title":"The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation","created":"2023-06-02","cited_by_count":116,"area":"diffusion"},{"id":"2406.04343","title":"Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image","created":"2024-06-06","cited_by_count":116,"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":"2211.13202","title":"Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation","created":"2022-11-23","cited_by_count":100,"area":null},{"id":"2203.09283","title":"PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation","created":"2022-03-17","cited_by_count":95,"area":null},{"id":"2203.15132","title":"LocalBins: Improving Depth Estimation by Learning Local Distributions","created":"2022-03-28","cited_by_count":94,"area":null},{"id":"2102.03550","title":"UniFuse: Unidirectional Fusion for 360$^{\\circ}$ Panorama Depth Estimation","created":"2021-02-06","cited_by_count":92,"area":null},{"id":"2101.08692","title":"Characterizing signal propagation to close the performance gap in unnormalized ResNets","created":"2021-01-21","cited_by_count":88,"area":null},{"id":"2302.14816","title":"Monocular Depth Estimation using Diffusion Models","created":"2023-02-28","cited_by_count":87,"area":"diffusion"},{"id":"2105.08054","title":"Divide and Contrast: Self-supervised Learning from Uncurated Data","created":"2021-05-17","cited_by_count":85,"area":null},{"id":"2103.16525","title":"Endo-Depth-and-Motion: Reconstruction and Tracking in Endoscopic Videos using Depth Networks and Photometric Constraints","created":"2021-03-30","cited_by_count":81,"area":null},{"id":"2204.02389","title":"ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer","created":"2022-04-05","cited_by_count":75,"area":null},{"id":"2304.06334","title":"iDisc: Internal Discretization for Monocular Depth Estimation","created":"2023-04-13","cited_by_count":73,"area":null},{"id":"2105.14804","title":"Scene-aware Generative Network for Human Motion Synthesis","created":"2021-05-31","cited_by_count":70,"area":null},{"id":"2105.11610","title":"Unsupervised Scale-consistent Depth Learning from Video","created":"2021-05-25","cited_by_count":69,"area":null},{"id":"2112.01988","title":"ROCA: Robust CAD Model Retrieval and Alignment from a Single Image","created":"2021-12-03","cited_by_count":67,"area":null},{"id":"2104.00622","title":"RGB-D Local Implicit Function for Depth Completion of Transparent Objects","created":"2021-04-01","cited_by_count":64,"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":"2503.16591","title":"UniK3D: Universal Camera Monocular 3D Estimation","created":"2025-03-20","cited_by_count":62,"area":null},{"id":"2203.00838","title":"OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion","created":"2022-03-02","cited_by_count":61,"area":null},{"id":"2111.15669","title":"360MonoDepth: High-Resolution 360{\\deg} Monocular Depth Estimation","created":"2021-11-30","cited_by_count":60,"area":null},{"id":"2308.09711","title":"Robust Monocular Depth Estimation under Challenging Conditions","created":"2023-08-18","cited_by_count":58,"area":null},{"id":"2203.03609","title":"Human-Aware Object Placement for Visual Environment Reconstruction","created":"2022-03-07","cited_by_count":56,"area":null},{"id":"2309.14137","title":"IEBins: Iterative Elastic Bins for Monocular Depth Estimation","created":"2023-09-25","cited_by_count":54,"area":null},{"id":"2305.10853","title":"LDM3D: Latent Diffusion Model for 3D","created":"2023-05-18","cited_by_count":53,"area":"diffusion"},{"id":"2103.04216","title":"Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction","created":"2021-03-07","cited_by_count":48,"area":null},{"id":"2412.04472","title":"Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail","created":"2024-12-05","cited_by_count":47,"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":"2301.08915","title":"Improving Deep Regression with Ordinal Entropy","created":"2023-01-21","cited_by_count":45,"area":null},{"id":"2309.10592","title":"NDDepth: Normal-Distance Assisted Monocular Depth Estimation","created":"2023-09-19","cited_by_count":45,"area":null},{"id":"2403.18807","title":"ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation","created":"2024-03-27","cited_by_count":45,"area":"diffusion"},{"id":"2103.15483","title":"Adaptive Surface Normal Constraint for Depth Estimation","created":"2021-03-29","cited_by_count":43,"area":null},{"id":"2112.02306","title":"Toward Practical Monocular Indoor Depth Estimation","created":"2021-12-04","cited_by_count":42,"area":null},{"id":"2312.14233","title":"VCoder: Versatile Vision Encoders for Multimodal Large Language Models","created":"2023-12-21","cited_by_count":42,"area":"mllm"},{"id":"2110.00087","title":"Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects","created":"2021-09-30","cited_by_count":39,"area":null},{"id":"2112.14440","title":"ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation","created":"2021-12-29","cited_by_count":39,"area":null},{"id":"2107.12429","title":"MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments","created":"2021-07-26","cited_by_count":38,"area":null},{"id":"2205.10468","title":"Deep Learning for Omnidirectional Vision: A Survey and New Perspectives","created":"2022-05-21","cited_by_count":38,"area":null},{"id":"2109.02749","title":"Pano3D: A Holistic Benchmark and a Solid Baseline for $360^o$ Depth Estimation","created":"2021-09-06","cited_by_count":37,"area":null},{"id":"2303.11616","title":"HRDFuse: Monocular 360{\\deg}Depth Estimation by Collaboratively Learning Holistic-with-Regional Depth Distributions","created":"2023-03-21","cited_by_count":37,"area":null},{"id":"2108.04814","title":"R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes","created":"2021-08-10","cited_by_count":36,"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":"2207.11984","title":"RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation","created":"2022-07-25","cited_by_count":36,"area":null},{"id":"2104.06456","title":"Single Image Depth Estimation: An Overview","created":"2021-04-13","cited_by_count":35,"area":null},{"id":"2209.02952","title":"BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation","created":"2022-09-07","cited_by_count":35,"area":null},{"id":"2106.02022","title":"Single Image Depth Prediction with Wavelet Decomposition","created":"2021-06-03","cited_by_count":34,"area":null},{"id":"2101.07422","title":"SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images","created":"2021-01-19","cited_by_count":33,"area":null},{"id":"2205.05335","title":"Deep Depth Completion from Extremely Sparse Data: A Survey","created":"2022-05-11","cited_by_count":33,"area":null},{"id":"2301.08245","title":"Booster: a Benchmark for Depth from Images of Specular and Transparent Surfaces","created":"2023-01-19","cited_by_count":33,"area":null},{"id":"2105.07830","title":"Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation","created":"2021-05-17","cited_by_count":32,"area":null},{"id":"2403.17301","title":"Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving","created":"2024-03-26","cited_by_count":32,"area":null},{"id":"2103.07362","title":"PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss","created":"2021-03-12","cited_by_count":31,"area":null},{"id":"2107.12541","title":"BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation","created":"2021-07-27","cited_by_count":31,"area":null},{"id":"2403.16376","title":"Elite360D: Towards Efficient 360 Depth Estimation via Semantic- and Distance-Aware Bi-Projection Fusion","created":"2024-03-25","cited_by_count":31,"area":null},{"id":"2103.12955","title":"Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution","created":"2021-03-24","cited_by_count":30,"area":null},{"id":"2208.00380","title":"Less is More: Consistent Video Depth Estimation with Masked Frames Modeling","created":"2022-07-31","cited_by_count":30,"area":null},{"id":"2210.03676","title":"IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty","created":"2022-10-07","cited_by_count":30,"area":null},{"id":"2403.07535","title":"Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving","created":"2024-03-12","cited_by_count":30,"area":null},{"id":"2312.13252","title":"Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model","created":"2023-12-20","cited_by_count":29,"area":"diffusion"},{"id":"2104.03965","title":"Learning optical flow from still images","created":"2021-04-08","cited_by_count":28,"area":null},{"id":"2110.08192","title":"Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation","created":"2021-10-15","cited_by_count":27,"area":null},{"id":"2209.12358","title":"UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater Robots","created":"2022-09-26","cited_by_count":27,"area":null},{"id":"2208.02005","title":"Gradient-based Uncertainty for Monocular Depth Estimation","created":"2022-08-03","cited_by_count":26,"area":null},{"id":"2209.13362","title":"DELTAR: Depth Estimation from a Light-weight ToF Sensor and RGB Image","created":"2022-09-27","cited_by_count":26,"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":"2309.09975","title":"GEDepth: Ground Embedding for Monocular Depth Estimation","created":"2023-09-18","cited_by_count":26,"area":null},{"id":"2206.08927","title":"DenseMTL: Cross-task Attention Mechanism for Dense Multi-task Learning","created":"2022-06-17","cited_by_count":25,"area":null},{"id":"2305.19201","title":"DaRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation","created":"2023-05-30","cited_by_count":25,"area":null},{"id":"2509.26618","title":"DA$^{2}$: Depth Anything in Any Direction","created":"2025-09-30","cited_by_count":25,"area":null},{"id":"2103.12209","title":"Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision","created":"2021-03-22","cited_by_count":24,"area":null},{"id":"2104.07350","title":"Depth Completion using Plane-Residual Representation","created":"2021-04-15","cited_by_count":24,"area":null},{"id":"2406.05871","title":"OmniControlNet: Dual-stage Integration for Conditional Image Generation","created":"2024-06-09","cited_by_count":24,"area":null},{"id":"2104.00877","title":"S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation","created":"2021-04-02","cited_by_count":23,"area":null},{"id":"2210.10758","title":"GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs","created":"2022-10-19","cited_by_count":23,"area":null},{"id":"2103.00933","title":"DF-VO: What Should Be Learnt for Visual Odometry?","created":"2021-03-01","cited_by_count":22,"area":null},{"id":"2110.07197","title":"Semi-supervised Multi-task Learning for Semantics and Depth","created":"2021-10-14","cited_by_count":22,"area":null},{"id":"2303.04456","title":"RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes","created":"2023-03-08","cited_by_count":22,"area":null},{"id":"2206.10451","title":"Winning the Lottery Ahead of Time: Efficient Early Network Pruning","created":"2022-06-21","cited_by_count":21,"area":null},{"id":"2105.08630","title":"Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report","created":"2021-05-17","cited_by_count":19,"area":null},{"id":"2203.08122","title":"From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction","created":"2022-03-15","cited_by_count":19,"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":"2305.09078","title":"PanelNet: Understanding 360 Indoor Environment via Panel Representation","created":"2023-05-16","cited_by_count":19,"area":null},{"id":"2404.09831","title":"Digging into contrastive learning for robust depth estimation with diffusion models","created":"2024-04-15","cited_by_count":19,"area":"diffusion"},{"id":"2501.02576","title":"DepthMaster: Taming Diffusion Models for Monocular Depth Estimation","created":"2025-01-05","cited_by_count":19,"area":"diffusion"},{"id":"2501.08643","title":"MonSter++: Unified Stereo Matching, Multi-view Stereo, and Real-time Stereo with Monodepth Priors","created":"2025-01-15","cited_by_count":19,"area":null}],"next_cursor":"100"}