{"total":115,"rows":[{"id":"2103.15595","title":"MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo","created":"2021-03-29","cited_by_count":740,"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":"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":"2211.05783","title":"Unifying Flow, Stereo and Depth Estimation","created":"2022-11-10","cited_by_count":275,"area":null},{"id":"2104.00681","title":"NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video","created":"2021-04-01","cited_by_count":241,"area":null},{"id":"2109.01129","title":"NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo","created":"2021-09-02","cited_by_count":192,"area":null},{"id":"2104.14540","title":"The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth","created":"2021-04-29","cited_by_count":190,"area":null},{"id":"2103.08808","title":"Track to Detect and Segment: An Online Multi-Object Tracker","created":"2021-03-16","cited_by_count":156,"area":null},{"id":"2404.12385","title":"MeshLRM: Large Reconstruction Model for High-Quality Meshes","created":"2024-04-18","cited_by_count":139,"area":null},{"id":"2206.13597","title":"NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors","created":"2022-06-27","cited_by_count":125,"area":null},{"id":"2205.02836","title":"Neural 3D Scene Reconstruction with the Manhattan-world Assumption","created":"2022-05-05","cited_by_count":123,"area":null},{"id":"2107.02191","title":"TransformerFusion: Monocular RGB Scene Reconstruction using Transformers","created":"2021-07-05","cited_by_count":106,"area":null},{"id":"2405.17958","title":"FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes","created":"2024-05-28","cited_by_count":89,"area":null},{"id":"2205.14330","title":"Differentiable Point-Based Radiance Fields for Efficient View Synthesis","created":"2022-05-28","cited_by_count":86,"area":null},{"id":"2208.14743","title":"SimpleRecon: 3D Reconstruction Without 3D Convolutions","created":"2022-08-31","cited_by_count":83,"area":null},{"id":"2204.07616","title":"Multi-Frame Self-Supervised Depth with Transformers","created":"2022-04-15","cited_by_count":64,"area":null},{"id":"2205.11733","title":"Single-View View Synthesis in the Wild with Learned Adaptive Multiplane Images","created":"2022-05-24","cited_by_count":59,"area":null},{"id":"2410.06245","title":"HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction","created":"2024-10-08","cited_by_count":57,"area":null},{"id":"2407.04699","title":"LaRa: Efficient Large-Baseline Radiance Fields","created":"2024-07-05","cited_by_count":55,"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":"2108.08623","title":"VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction","created":"2021-08-19","cited_by_count":44,"area":null},{"id":"2104.13325","title":"MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions","created":"2021-04-27","cited_by_count":43,"area":null},{"id":"2305.00041","title":"ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields","created":"2023-04-28","cited_by_count":43,"area":null},{"id":"2104.00152","title":"Full Surround Monodepth from Multiple Cameras","created":"2021-03-31","cited_by_count":41,"area":null},{"id":"2104.00556","title":"Deep Two-View Structure-from-Motion Revisited","created":"2021-04-01","cited_by_count":39,"area":null},{"id":"2104.02273","title":"Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo","created":"2021-04-06","cited_by_count":38,"area":null},{"id":"2112.00236","title":"VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and Fusion","created":"2021-12-01","cited_by_count":38,"area":null},{"id":"2306.07437","title":"Instant Multi-View Head Capture through Learnable Registration","created":"2023-06-12","cited_by_count":34,"area":null},{"id":"2112.02338","title":"Generalized Binary Search Network for Highly-Efficient Multi-View Stereo","created":"2021-12-04","cited_by_count":32,"area":null},{"id":"2112.03243","title":"Input-level Inductive Biases for 3D Reconstruction","created":"2021-12-06","cited_by_count":31,"area":null},{"id":"2203.12082","title":"PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo","created":"2022-03-22","cited_by_count":29,"area":null},{"id":"2503.22430","title":"MVSAnywhere: Zero-Shot Multi-View Stereo","created":"2025-03-28","cited_by_count":26,"area":null},{"id":"2110.05594","title":"Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo","created":"2021-10-11","cited_by_count":25,"area":null},{"id":"2104.07350","title":"Depth Completion using Plane-Residual Representation","created":"2021-04-15","cited_by_count":24,"area":null},{"id":"2409.13430","title":"CVT-Occ: Cost Volume Temporal Fusion for 3D Occupancy Prediction","created":"2024-09-20","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":"2112.00202","title":"3DVNet: Multi-View Depth Prediction and Volumetric Refinement","created":"2021-12-01","cited_by_count":21,"area":null},{"id":"2204.09866","title":"Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images","created":"2022-04-21","cited_by_count":21,"area":null},{"id":"2101.04777","title":"Binary TTC: A Temporal Geofence for Autonomous Navigation","created":"2021-01-12","cited_by_count":20,"area":null},{"id":"2302.14340","title":"HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization","created":"2023-02-28","cited_by_count":20,"area":null},{"id":"2408.15235","title":"Learning-based Multi-View Stereo: A Survey","created":"2024-08-27","cited_by_count":18,"area":null},{"id":"2207.14287","title":"Depth Field Networks for Generalizable Multi-view Scene Representation","created":"2022-07-28","cited_by_count":17,"area":null},{"id":"2304.01480","title":"FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction","created":"2023-04-04","cited_by_count":17,"area":null},{"id":"2308.05733","title":"FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models","created":"2023-08-10","cited_by_count":17,"area":null},{"id":"2106.15328","title":"Deep Learning for Multi-View Stereo via Plane Sweep: A Survey","created":"2021-06-18","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":"2103.12964","title":"Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation","created":"2021-03-24","cited_by_count":15,"area":null},{"id":"2111.11704","title":"Deep Point Cloud Reconstruction","created":"2021-11-23","cited_by_count":15,"area":null},{"id":"2307.10233","title":"RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo","created":"2023-07-16","cited_by_count":15,"area":null},{"id":"2503.22986","title":"FreeSplat++: Generalizable 3D Gaussian Splatting for Efficient Indoor Scene Reconstruction","created":"2025-03-29","cited_by_count":15,"area":null},{"id":"2201.01016","title":"Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function","created":"2022-01-04","cited_by_count":14,"area":null},{"id":"2308.09098","title":"ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection","created":"2023-08-17","cited_by_count":14,"area":null},{"id":"2605.10922","title":"Pixal3D: Pixel-Aligned 3D Generation from Images","created":"2026-05-11","cited_by_count":14,"area":null},{"id":"2306.12681","title":"One at a Time: Progressive Multi-step Volumetric Probability Learning for Reliable 3D Scene Perception","created":"2023-06-22","cited_by_count":13,"area":null},{"id":"2201.07609","title":"A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo","created":"2022-01-19","cited_by_count":12,"area":null},{"id":"2205.14320","title":"RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo","created":"2022-05-28","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":"2103.02996","title":"Optical Flow Estimation from a Single Motion-blurred Image","created":"2021-03-04","cited_by_count":11,"area":null},{"id":"2202.01470","title":"Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular Video Depth","created":"2022-02-03","cited_by_count":11,"area":null},{"id":"2207.11876","title":"nLMVS-Net: Deep Non-Lambertian Multi-View Stereo","created":"2022-07-25","cited_by_count":10,"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":"2412.16604","title":"OmniSplat: Taming Feed-Forward 3D Gaussian Splatting for Omnidirectional Images with Editable Capabilities","created":"2024-12-21","cited_by_count":10,"area":null},{"id":"2312.08338","title":"Global Latent Neural Rendering","created":"2023-12-13","cited_by_count":9,"area":null},{"id":"2406.18387","title":"DoubleTake: Geometry Guided Depth Estimation","created":"2024-06-26","cited_by_count":9,"area":null},{"id":"2207.09658","title":"Learning Depth from Focus in the Wild","created":"2022-07-20","cited_by_count":8,"area":null},{"id":"2301.13510","title":"3D Former: Monocular Scene Reconstruction with 3D SDF Transformers","created":"2023-01-31","cited_by_count":8,"area":null},{"id":"2304.10687","title":"VisFusion: Visibility-aware Online 3D Scene Reconstruction from Videos","created":"2023-04-21","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":"2305.14918","title":"Incremental Dense Reconstruction from Monocular Video with Guided Sparse Feature Volume Fusion","created":"2023-05-24","cited_by_count":6,"area":null},{"id":"2411.07326","title":"$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation","created":"2024-11-11","cited_by_count":6,"area":null},{"id":"2305.07014","title":"Virtual Occlusions Through Implicit Depth","created":"2023-05-11","cited_by_count":5,"area":null},{"id":"2404.13044","title":"Unified Scene Representation and Reconstruction for 3D Large Language Models","created":"2024-04-19","cited_by_count":5,"area":null},{"id":"2405.00340","title":"NC-SDF: Enhancing Indoor Scene Reconstruction Using Neural SDFs with View-Dependent Normal Compensation","created":"2024-05-01","cited_by_count":5,"area":null},{"id":"2208.02709","title":"Globally Consistent Video Depth and Pose Estimation with Efficient Test-Time Training","created":"2022-08-04","cited_by_count":4,"area":null},{"id":"2212.06524","title":"SST: Real-time End-to-end Monocular 3D Reconstruction via Sparse Spatial-Temporal Guidance","created":"2022-12-13","cited_by_count":4,"area":null},{"id":"2306.08648","title":"SimpleMapping: Real-Time Visual-Inertial Dense Mapping with Deep Multi-View Stereo","created":"2023-06-14","cited_by_count":4,"area":null},{"id":"2409.01807","title":"EPRecon: An Efficient Framework for Real-Time Panoptic 3D Reconstruction from Monocular Video","created":"2024-09-03","cited_by_count":4,"area":null},{"id":"2508.03118","title":"H3R: Hybrid Multi-view Correspondence for Generalizable 3D Reconstruction","created":"2025-08-05","cited_by_count":4,"area":null},{"id":"2203.02156","title":"PatchMVSNet: Patch-wise Unsupervised Multi-View Stereo for Weakly-Textured Surface Reconstruction","created":"2022-03-04","cited_by_count":3,"area":null},{"id":"2309.07640","title":"Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement","created":"2023-09-14","cited_by_count":3,"area":null},{"id":"2405.17140","title":"SDL-MVS: View Space and Depth Deformable Learning Paradigm for Multi-View Stereo Reconstruction in Remote Sensing","created":"2024-05-27","cited_by_count":3,"area":null},{"id":"2603.14965","title":"GeoNVS: Geometry Grounded Video Diffusion for Novel View Synthesis","created":"2026-03-16","cited_by_count":3,"area":"diffusion"},{"id":"2205.02481","title":"Exploiting Correspondences with All-pairs Correlations for Multi-view Depth Estimation","created":"2022-05-05","cited_by_count":2,"area":null},{"id":"2303.00236","title":"P$^2$SDF for Neural Indoor Scene Reconstruction","created":"2023-03-01","cited_by_count":2,"area":null},{"id":"2410.01816","title":"Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects","created":"2024-09-14","cited_by_count":2,"area":null},{"id":"2507.08400","title":"PanMatch: Unleashing the Potential of Large Vision Models for Unified Matching Models","created":"2025-07-11","cited_by_count":2,"area":null},{"id":"2103.05158","title":"Deep Learning-based High-precision Depth Map Estimation from Missing Viewpoints for 360 Degree Digital Holography","created":"2021-03-09","cited_by_count":1,"area":null},{"id":"2204.01320","title":"RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo","created":"2022-04-04","cited_by_count":1,"area":null},{"id":"2304.10771","title":"A Revisit of the Normalized Eight-Point Algorithm and A Self-Supervised Deep Solution","created":"2023-04-21","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":"2406.18898","title":"360 in the Wild: Dataset for Depth Prediction and View Synthesis","created":"2024-06-27","cited_by_count":1,"area":null},{"id":"2409.14935","title":"Deep Cost Ray Fusion for Sparse Depth Video Completion","created":"2024-09-23","cited_by_count":1,"area":null},{"id":"2511.00392","title":"SonarSweep: Fusing Sonar and Vision for Robust 3D Reconstruction via Plane Sweeping","created":"2025-11-01","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":"2512.18684","title":"A Study of Finetuning Video Transformers for Multi-view Geometry Tasks","created":"2025-12-21","cited_by_count":1,"area":null},{"id":"2603.04254","title":"EmbodiedSplat: Online Feed-Forward Semantic 3DGS for Open-Vocabulary 3D Scene Understanding","created":"2026-03-04","cited_by_count":1,"area":null},{"id":"2605.01450","title":"Registration-Free Learnable Multi-View Capture of Faces in Dense Semantic Correspondence","created":"2026-05-02","cited_by_count":1,"area":null},{"id":"2608.03851","title":"LiteMVS: Efficient Multi-View Stereo with Foundation Distillation and Expert Aggregation","created":"2026-08-04","cited_by_count":1,"area":"moe"},{"id":"2106.13139","title":"FaDIV-Syn: Fast Depth-Independent View Synthesis using Soft Masks and Implicit Blending","created":"2021-06-24","cited_by_count":0,"area":null}],"next_cursor":"100"}