{"list":"other","total":56,"rows":[{"id":"1801.03924","title":"The Unreasonable Effectiveness of Deep Features as a Perceptual Metric","created":"2018-01-11","cited_by_count":11177},{"id":"2201.05989","title":"Instant Neural Graphics Primitives with a Multiresolution Hash Encoding","created":"2022-01-16","cited_by_count":3723},{"id":"1702.04405","title":"ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes","created":"2017-02-14","cited_by_count":3117},{"id":"2003.12039","title":"RAFT: Recurrent All-Pairs Field Transforms for Optical Flow","created":"2020-03-26","cited_by_count":2415},{"id":"2006.10739","title":"Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains","created":"2020-06-18","cited_by_count":2200},{"id":"1907.01341","title":"Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer","created":"2019-07-02","cited_by_count":1495},{"id":"2007.11571","title":"Neural Sparse Voxel Fields","created":"2020-07-22","cited_by_count":959},{"id":"1906.05797","title":"The Replica Dataset: A Digital Replica of Indoor Spaces","created":"2019-06-13","cited_by_count":904},{"id":"1610.06475","title":"ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras","created":"2016-10-20","cited_by_count":806},{"id":"2108.10869","title":"DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras","created":"2021-08-24","cited_by_count":687},{"id":"2112.12130","title":"NICE-SLAM: Neural Implicit Scalable Encoding for SLAM","created":"2021-12-22","cited_by_count":589},{"id":"2103.12352","title":"iMAP: Implicit Mapping and Positioning in Real-Time","created":"2021-03-23","cited_by_count":476},{"id":"2312.06741","title":"Gaussian Splatting SLAM","created":"2023-12-11","cited_by_count":415},{"id":"2312.02126","title":"SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM","created":"2023-12-04","cited_by_count":388},{"id":"2110.04994","title":"Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans","created":"2021-10-11","cited_by_count":336},{"id":"2104.04532","title":"Neural RGB-D Surface Reconstruction","created":"2021-04-09","cited_by_count":313},{"id":"2311.11700","title":"GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting","created":"2023-11-20","cited_by_count":278},{"id":"2104.00681","title":"NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video","created":"2021-04-01","cited_by_count":241},{"id":"2210.13641","title":"NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields","created":"2022-10-24","cited_by_count":188},{"id":"2304.14377","title":"Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM","created":"2023-04-27","cited_by_count":184},{"id":"2302.03594","title":"NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM","created":"2023-02-07","cited_by_count":164},{"id":"2304.04278","title":"Point-SLAM: Dense Neural Point Cloud-based SLAM","created":"2023-04-09","cited_by_count":160},{"id":"2211.11704","title":"ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields","created":"2022-11-21","cited_by_count":158},{"id":"2312.10070","title":"Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting","created":"2023-12-06","cited_by_count":154},{"id":"1611.03631","title":"Voxblox: Incremental 3D Euclidean Signed Distance Fields for On-Board MAV Planning","created":"2016-11-11","cited_by_count":150},{"id":"2210.15858","title":"Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representation","created":"2022-10-28","cited_by_count":149},{"id":"2311.16728","title":"Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras","created":"2023-11-28","cited_by_count":141},{"id":"2309.02436","title":"GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction","created":"2023-09-05","cited_by_count":133},{"id":"2204.02296","title":"iSDF: Real-Time Neural Signed Distance Fields for Robot Perception","created":"2022-04-05","cited_by_count":109},{"id":"2107.02191","title":"TransformerFusion: Monocular RGB Scene Reconstruction using Transformers","created":"2021-07-05","cited_by_count":106},{"id":"2209.13274","title":"Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping","created":"2022-09-27","cited_by_count":79},{"id":"1603.08161","title":"VolumeDeform: Real-time Volumetric Non-rigid Reconstruction","created":"2016-03-27","cited_by_count":75},{"id":"2402.13255","title":"How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey","created":"2024-02-20","cited_by_count":72},{"id":"2311.11016","title":"SNI-SLAM: Semantic Neural Implicit SLAM","created":"2023-11-18","cited_by_count":65},{"id":"2001.04388","title":"RoutedFusion: Learning Real-time Depth Map Fusion","created":"2020-01-13","cited_by_count":52},{"id":"2402.09944","title":"Loopy-SLAM: Dense Neural SLAM with Loop Closures","created":"2024-02-14","cited_by_count":48},{"id":"2011.14791","title":"NeuralFusion: Online Depth Fusion in Latent Space","created":"2020-11-30","cited_by_count":46},{"id":"2301.08930","title":"Dense RGB SLAM with Neural Implicit Maps","created":"2023-01-21","cited_by_count":42},{"id":"2311.08013","title":"CP-SLAM: Collaborative Neural Point-based SLAM System","created":"2023-11-14","cited_by_count":32},{"id":"2310.04787","title":"HI-SLAM: Monocular Real-time Dense Mapping with Hybrid Implicit Fields","created":"2023-10-07","cited_by_count":31},{"id":"2308.14383","title":"Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor","created":"2023-08-28","cited_by_count":30},{"id":"2204.01139","title":"BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion","created":"2022-04-03","cited_by_count":29},{"id":"2004.13154","title":"Voxgraph: Globally Consistent, Volumetric Mapping using Signed Distance Function Submaps","created":"2020-04-27","cited_by_count":26},{"id":"2308.08741","title":"MIPS-Fusion: Multi-Implicit-Submaps for Scalable and Robust Online Neural RGB-D Reconstruction","created":"2023-08-17","cited_by_count":24},{"id":"2312.00204","title":"DNS SLAM: Dense Neural Semantic-Informed SLAM","created":"2023-11-30","cited_by_count":23},{"id":"2306.11048","title":"UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM","created":"2023-06-19","cited_by_count":19},{"id":"2402.03762","title":"MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction","created":"2024-02-06","cited_by_count":18},{"id":"2203.13861","title":"FD-SLAM: 3-D Reconstruction Using Features and Dense Matching","created":"2022-03-25","cited_by_count":17},{"id":"2209.15153","title":"MonoNeuralFusion: Online Monocular Neural 3D Reconstruction with Geometric Priors","created":"2022-09-30","cited_by_count":17},{"id":"2303.13654","title":"NEWTON: Neural View-Centric Mapping for On-the-Fly Large-Scale SLAM","created":"2023-03-23","cited_by_count":17},{"id":"2311.09525","title":"NGEL-SLAM: Neural Implicit Representation-based Global Consistent Low-Latency SLAM System","created":"2023-11-16","cited_by_count":17},{"id":"1709.03763","title":"Efficient Online Surface Correction for Real-time Large-Scale 3D Reconstruction","created":"2017-09-12","cited_by_count":12},{"id":"2310.11598","title":"Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors","created":"2023-10-17","cited_by_count":11},{"id":"2312.13471","title":"NeRF-VO: Real-Time Sparse Visual Odometry with Neural Radiance Fields","created":"2023-12-20","cited_by_count":10},{"id":"2306.00579","title":"FMapping: Factorized Efficient Neural Field Mapping for Real-Time Dense RGB SLAM","created":"2023-06-01","cited_by_count":6},{"id":"2401.03203","title":"Hi-Map: Hierarchical Factorized Radiance Field for High-Fidelity Monocular Dense Mapping","created":"2024-01-06","cited_by_count":6}],"next_cursor":null}