{"list":"other","total":54,"rows":[{"id":"2201.05989","title":"Instant Neural Graphics Primitives with a Multiresolution Hash Encoding","created":"2022-01-16","cited_by_count":3723},{"id":"1901.05103","title":"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation","created":"2019-01-16","cited_by_count":2689},{"id":"1812.03828","title":"Occupancy Networks: Learning 3D Reconstruction in Function Space","created":"2018-12-10","cited_by_count":2041},{"id":"2106.10689","title":"NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction","created":"2021-06-20","cited_by_count":1712},{"id":"2008.02268","title":"NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections","created":"2020-08-05","cited_by_count":1232},{"id":"2112.07945","title":"Efficient Geometry-aware 3D Generative Adversarial Networks","created":"2021-12-15","cited_by_count":1205},{"id":"1812.02822","title":"Learning Implicit Fields for Generative Shape Modeling","created":"2018-12-06","cited_by_count":1060},{"id":"2106.12052","title":"Volume Rendering of Neural Implicit Surfaces","created":"2021-06-22","cited_by_count":996},{"id":"1906.05797","title":"The Replica Dataset: A Digital Replica of Indoor Spaces","created":"2019-06-13","cited_by_count":904},{"id":"2010.07492","title":"NeRF++: Analyzing and Improving Neural Radiance Fields","created":"2020-10-15","cited_by_count":861},{"id":"1905.05172","title":"PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization","created":"2019-05-13","cited_by_count":818},{"id":"2011.12100","title":"GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields","created":"2020-11-24","cited_by_count":785},{"id":"2003.04618","title":"Convolutional Occupancy Networks","created":"2020-03-10","cited_by_count":761},{"id":"2002.10099","title":"Implicit Geometric Regularization for Learning Shapes","created":"2020-02-24","cited_by_count":710},{"id":"2007.02442","title":"GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis","created":"2020-07-05","cited_by_count":689},{"id":"2103.13744","title":"KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs","created":"2021-03-25","cited_by_count":673},{"id":"2104.10078","title":"UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction","created":"2021-04-20","cited_by_count":646},{"id":"2112.12130","title":"NICE-SLAM: Neural Implicit Scalable Encoding for SLAM","created":"2021-12-22","cited_by_count":589},{"id":"2104.10133","title":"Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset","created":"2021-04-20","cited_by_count":537},{"id":"2206.00665","title":"MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction","created":"2022-06-01","cited_by_count":470},{"id":"2306.03092","title":"Neuralangelo: High-Fidelity Neural Surface Reconstruction","created":"2023-06-05","cited_by_count":467},{"id":"2003.08981","title":"Local Implicit Grid Representations for 3D Scenes","created":"2020-03-19","cited_by_count":373},{"id":"1905.10711","title":"DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction","created":"2019-05-26","cited_by_count":333},{"id":"2003.10983","title":"Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction","created":"2020-03-24","cited_by_count":321},{"id":"2104.04532","title":"Neural RGB-D Surface Reconstruction","created":"2021-04-09","cited_by_count":313},{"id":"2209.13508","title":"Motion Transformer with Global Intention Localization and Local Movement Refinement","created":"2022-09-27","cited_by_count":270},{"id":"2106.03452","title":"Shape As Points: A Differentiable Poisson Solver","created":"2021-06-07","cited_by_count":187},{"id":"1911.13225","title":"DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing","created":"2019-11-29","cited_by_count":180},{"id":"2108.07009","title":"Pixel Difference Networks for Efficient Edge Detection","created":"2021-08-16","cited_by_count":168},{"id":"2302.03594","title":"NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM","created":"2023-02-07","cited_by_count":164},{"id":"2206.07850","title":"HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details","created":"2022-06-15","cited_by_count":121},{"id":"1909.01955","title":"Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection","created":"2019-09-04","cited_by_count":104},{"id":"2004.12255","title":"TPNet: Trajectory Proposal Network for Motion Prediction","created":"2020-04-26","cited_by_count":80},{"id":"2210.04847","title":"NerfAcc: A General NeRF Acceleration Toolbox","created":"2022-10-10","cited_by_count":74},{"id":"2007.04883","title":"PIE-NET: Parametric Inference of Point Cloud Edges","created":"2020-07-09","cited_by_count":67},{"id":"2304.02008","title":"GlueStick: Robust Image Matching by Sticking Points and Lines Together","created":"2023-04-04","cited_by_count":66},{"id":"2211.14173","title":"NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies","created":"2022-11-25","cited_by_count":63},{"id":"2212.07766","title":"DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients","created":"2022-12-15","cited_by_count":60},{"id":"1812.02122","title":"Learning Attraction Field Representation for Robust Line Segment Detection","created":"2018-12-05","cited_by_count":52},{"id":"2104.03362","title":"SOLD2: Self-supervised Occlusion-aware Line Description and Detection","created":"2021-04-07","cited_by_count":47},{"id":"2303.17504","title":"3D Line Mapping Revisited","created":"2023-03-30","cited_by_count":39},{"id":"2106.02527","title":"RoadMap: A Light-Weight Semantic Map for Visual Localization towards Autonomous Driving","created":"2021-06-04","cited_by_count":34},{"id":"2103.02766","title":"PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds","created":"2021-03-04","cited_by_count":33},{"id":"2108.00616","title":"RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth","created":"2021-08-02","cited_by_count":33},{"id":"2210.12971","title":"Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning","created":"2022-10-24","cited_by_count":26},{"id":"1711.08654","title":"Robust Visual SLAM with Point and Line Features","created":"2017-11-23","cited_by_count":23},{"id":"2112.13515","title":"UV-SLAM: Unconstrained Line-based SLAM Using Vanishing Points for Structural Mapping","created":"2021-12-27","cited_by_count":23},{"id":"2303.07653","title":"NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images","created":"2023-03-14","cited_by_count":22},{"id":"2303.16465","title":"NerVE: Neural Volumetric Edges for Parametric Curve Extraction from Point Cloud","created":"2023-03-29","cited_by_count":22},{"id":"2207.06058","title":"Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras","created":"2022-07-13","cited_by_count":16},{"id":"2304.06531","title":"SepicNet: Sharp Edges Recovery by Parametric Inference of Curves in 3D Shapes","created":"2023-04-13","cited_by_count":13},{"id":"2108.05047","title":"Road Mapping and Localization using Sparse Semantic Visual Features","created":"2021-08-11","cited_by_count":7},{"id":"2307.11653","title":"Online Monocular Lane Mapping Using Catmull-Rom Spline","created":"2023-07-21","cited_by_count":7},{"id":"1801.05606","title":"Multi-View Stereo 3D Edge Reconstruction","created":"2018-01-17","cited_by_count":4}],"next_cursor":null}