{"list":"other","total":63,"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":"2006.09661","title":"Implicit Neural Representations with Periodic Activation Functions","created":"2020-06-17","cited_by_count":2238},{"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":"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":"2112.05131","title":"Plenoxels: Radiance Fields without Neural Networks","created":"2021-12-09","cited_by_count":1613},{"id":"2011.12948","title":"Nerfies: Deformable Neural Radiance Fields","created":"2020-11-25","cited_by_count":1198},{"id":"2106.12052","title":"Volume Rendering of Neural Implicit Surfaces","created":"2021-06-22","cited_by_count":996},{"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":"1912.07372","title":"Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision","created":"2019-12-16","cited_by_count":700},{"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":"2206.00665","title":"MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction","created":"2022-06-01","cited_by_count":470},{"id":"2101.10994","title":"Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes","created":"2021-01-26","cited_by_count":426},{"id":"1911.10414","title":"SAL: Sign Agnostic Learning of Shapes from Raw Data","created":"2019-11-23","cited_by_count":390},{"id":"2003.08981","title":"Local Implicit Grid Representations for 3D Scenes","created":"2020-03-19","cited_by_count":373},{"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":"2010.13938","title":"Neural Unsigned Distance Fields for Implicit Function Learning","created":"2020-10-26","cited_by_count":265},{"id":"1904.06447","title":"Learning Shape Templates with Structured Implicit Functions","created":"2019-04-12","cited_by_count":242},{"id":"2205.15848","title":"Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction","created":"2022-05-31","cited_by_count":212},{"id":"2106.03452","title":"Shape As Points: A Differentiable Poisson Solver","created":"2021-06-07","cited_by_count":187},{"id":"1912.07109","title":"SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization","created":"2019-12-15","cited_by_count":159},{"id":"2011.13495","title":"Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces","created":"2020-11-26","cited_by_count":147},{"id":"2206.13597","title":"NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors","created":"2022-06-27","cited_by_count":125},{"id":"2205.02836","title":"Neural 3D Scene Reconstruction with the Manhattan-world Assumption","created":"2022-05-05","cited_by_count":123},{"id":"2007.10453","title":"Points2Surf: Learning Implicit Surfaces from Point Cloud Patches","created":"2020-07-20","cited_by_count":122},{"id":"2206.07850","title":"HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details","created":"2022-06-15","cited_by_count":121},{"id":"1604.01093","title":"BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration","created":"2016-04-05","cited_by_count":116},{"id":"2006.05400","title":"SALD: Sign Agnostic Learning with Derivatives","created":"2020-06-09","cited_by_count":115},{"id":"1811.10943","title":"Deep Geometric Prior for Surface Reconstruction","created":"2018-11-27","cited_by_count":110},{"id":"2201.01831","title":"POCO: Point Convolution for Surface Reconstruction","created":"2022-01-05","cited_by_count":92},{"id":"2008.01639","title":"PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations","created":"2020-08-04","cited_by_count":81},{"id":"2106.10811","title":"DiGS : Divergence guided shape implicit neural representation for unoriented point clouds","created":"2021-06-21","cited_by_count":77},{"id":"2103.12266","title":"Deep Implicit Moving Least-Squares Functions for 3D Reconstruction","created":"2021-03-23","cited_by_count":67},{"id":"2105.02788","title":"ACORN: Adaptive Coordinate Networks for Neural Scene Representation","created":"2021-05-06","cited_by_count":65},{"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":"2204.10603","title":"Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors","created":"2022-04-22","cited_by_count":60},{"id":"2105.03582","title":"SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks","created":"2021-05-08","cited_by_count":59},{"id":"2204.11015","title":"Surface Reconstruction from Point Clouds by Learning Predictive Context Priors","created":"2022-04-23","cited_by_count":54},{"id":"1901.06802","title":"Deep Level Sets: Implicit Surface Representations for 3D Shape Inference","created":"2019-01-21","cited_by_count":53},{"id":"2006.13782","title":"Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks","created":"2020-06-24","cited_by_count":52},{"id":"2210.02757","title":"CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization","created":"2022-10-06","cited_by_count":47},{"id":"2203.15190","title":"3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow","created":"2022-03-29","cited_by_count":45},{"id":"2203.14048","title":"Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds","created":"2022-03-26","cited_by_count":42},{"id":"2012.06434","title":"Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations","created":"2020-12-11","cited_by_count":39},{"id":"2211.16869","title":"NeAF: Learning Neural Angle Fields for Point Normal Estimation","created":"2022-11-30","cited_by_count":38},{"id":"1911.07401","title":"SSRNet: Scalable 3D Surface Reconstruction Network","created":"2019-11-18","cited_by_count":35},{"id":"2007.06127","title":"DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images","created":"2020-07-12","cited_by_count":35},{"id":"1908.00120","title":"ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences","created":"2019-07-31","cited_by_count":30},{"id":"2012.07498","title":"Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds","created":"2020-12-14","cited_by_count":30},{"id":"2206.02780","title":"GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions","created":"2022-06-06","cited_by_count":30},{"id":"2303.14505","title":"Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors","created":"2023-03-25","cited_by_count":28},{"id":"2108.03746","title":"Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching","created":"2021-08-08","cited_by_count":26},{"id":"2207.04161","title":"Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space","created":"2022-07-09","cited_by_count":22},{"id":"2207.08631","title":"Latent Partition Implicit with Surface Codes for 3D Representation","created":"2022-07-18","cited_by_count":21},{"id":"2303.14569","title":"VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids","created":"2023-03-25","cited_by_count":20},{"id":"2111.15207","title":"NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping","created":"2021-11-30","cited_by_count":16},{"id":"2204.09138","title":"RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds","created":"2022-04-19","cited_by_count":16},{"id":"2010.11378","title":"Learning Occupancy Function from Point Clouds for Surface Reconstruction","created":"2020-10-22","cited_by_count":13},{"id":"2211.14249","title":"Neural Poisson: Indicator Functions for Neural Fields","created":"2022-11-25","cited_by_count":7}],"next_cursor":null}