{"list":"other","total":62,"rows":[{"id":"1502.03167","title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","created":"2015-02-11","cited_by_count":7005},{"id":"1612.00593","title":"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation","created":"2016-12-02","cited_by_count":5248},{"id":"1703.03400","title":"Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks","created":"2017-03-09","cited_by_count":4897},{"id":"1706.02413","title":"PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space","created":"2017-06-07","cited_by_count":4401},{"id":"1512.03012","title":"ShapeNet: An Information-Rich 3D Model Repository","created":"2015-12-09","cited_by_count":2897},{"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":"1801.07829","title":"Dynamic Graph CNN for Learning on Point Clouds","created":"2018-01-24","cited_by_count":2223},{"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":"2011.00931","title":"Point Transformer","created":"2020-11-02","cited_by_count":1470},{"id":"2008.02268","title":"NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections","created":"2020-08-05","cited_by_count":1232},{"id":"1904.08889","title":"KPConv: Flexible and Deformable Convolution for Point Clouds","created":"2019-04-18","cited_by_count":1205},{"id":"1812.02822","title":"Learning Implicit Fields for Generative Shape Modeling","created":"2018-12-06","cited_by_count":1060},{"id":"1906.02691","title":"An Introduction to Variational Autoencoders","created":"2019-06-06","cited_by_count":1000},{"id":"2106.12052","title":"Volume Rendering of Neural Implicit Surfaces","created":"2021-06-22","cited_by_count":996},{"id":"1801.07791","title":"PointCNN: Convolution On $\\mathcal{X}$-Transformed Points","created":"2018-01-23","cited_by_count":764},{"id":"2003.04618","title":"Convolutional Occupancy Networks","created":"2020-03-10","cited_by_count":761},{"id":"1711.10275","title":"3D Semantic Segmentation with Submanifold Sparse Convolutional Networks","created":"2017-11-28","cited_by_count":748},{"id":"1802.08219","title":"Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds","created":"2018-02-22","cited_by_count":746},{"id":"2012.09688","title":"PCT: Point cloud transformer","created":"2020-12-17","cited_by_count":732},{"id":"2002.10099","title":"Implicit Geometric Regularization for Learning Shapes","created":"2020-02-24","cited_by_count":710},{"id":"2012.00926","title":"pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis","created":"2020-12-02","cited_by_count":708},{"id":"1811.07246","title":"PointConv: Deep Convolutional Networks on 3D Point Clouds","created":"2018-11-17","cited_by_count":657},{"id":"1711.00165","title":"Deep Neural Networks as Gaussian Processes","created":"2017-11-01","cited_by_count":622},{"id":"2111.11426","title":"Neural Fields in Visual Computing and Beyond","created":"2021-11-22","cited_by_count":540},{"id":"1901.02970","title":"Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation","created":"2019-01-09","cited_by_count":495},{"id":"2206.00665","title":"MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction","created":"2022-06-01","cited_by_count":470},{"id":"1801.10130","title":"Spherical CNNs","created":"2018-01-30","cited_by_count":456},{"id":"1911.10414","title":"SAL: Sign Agnostic Learning of Shapes from Raw Data","created":"2019-11-23","cited_by_count":390},{"id":"2210.05666","title":"Point Transformer V2: Grouped Vector Attention and Partition-based Pooling","created":"2022-10-11","cited_by_count":388},{"id":"1812.11788","title":"PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation","created":"2018-12-31","cited_by_count":385},{"id":"1901.04780","title":"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion","created":"2019-01-15","cited_by_count":355},{"id":"2003.01456","title":"Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion","created":"2020-03-03","cited_by_count":343},{"id":"1611.05009","title":"OctNet: Learning Deep 3D Representations at High Resolutions","created":"2016-11-15","cited_by_count":342},{"id":"1603.08182","title":"3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions","created":"2016-03-27","cited_by_count":336},{"id":"1905.03304","title":"Deep Closest Point: Learning Representations for Point Cloud Registration","created":"2019-05-08","cited_by_count":321},{"id":"2104.12229","title":"Vector Neurons: A General Framework for SO(3)-Equivariant Networks","created":"2021-04-25","cited_by_count":305},{"id":"2011.13005","title":"PREDATOR: Registration of 3D Point Clouds with Low Overlap","created":"2020-11-25","cited_by_count":290},{"id":"2001.07715","title":"TEASER: Fast and Certifiable Point Cloud Registration","created":"2020-01-21","cited_by_count":274},{"id":"1711.06721","title":"Learning SO(3) Equivariant Representations with Spherical CNNs","created":"2017-11-17","cited_by_count":248},{"id":"2012.02189","title":"Learned Initializations for Optimizing Coordinate-Based Neural Representations","created":"2020-12-03","cited_by_count":242},{"id":"1809.10790","title":"Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects","created":"2018-09-27","cited_by_count":241},{"id":"1903.05711","title":"PointNetLK: Robust & Efficient Point Cloud Registration using PointNet","created":"2019-03-13","cited_by_count":233},{"id":"1908.07433","title":"Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation","created":"2019-08-20","cited_by_count":218},{"id":"2006.09662","title":"MetaSDF: Meta-learning Signed Distance Functions","created":"2020-06-17","cited_by_count":214},{"id":"2201.12204","title":"From data to functa: Your data point is a function and you can treat it like one","created":"2022-01-28","cited_by_count":187},{"id":"1605.03344","title":"Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration","created":"2016-05-11","cited_by_count":159},{"id":"2303.17015","title":"HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion","created":"2023-03-29","cited_by_count":152},{"id":"1704.01222","title":"Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models","created":"2017-04-04","cited_by_count":142},{"id":"2104.03960","title":"Modulated Periodic Activations for Generalizable Local Functional Representations","created":"2021-04-08","cited_by_count":140},{"id":"2007.10453","title":"Points2Surf: Learning Implicit Surfaces from Point Cloud Patches","created":"2020-07-20","cited_by_count":122},{"id":"2005.01014","title":"Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences","created":"2020-05-03","cited_by_count":109},{"id":"2106.10811","title":"DiGS : Divergence guided shape implicit neural representation for unoriented point clouds","created":"2021-06-21","cited_by_count":77},{"id":"2106.02285","title":"Subdivision-Based Mesh Convolution Networks","created":"2021-06-04","cited_by_count":60},{"id":"1909.09287","title":"Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds","created":"2019-09-20","cited_by_count":57},{"id":"2302.03130","title":"Spatial Functa: Scaling Functa to ImageNet Classification and Generation","created":"2023-02-06","cited_by_count":57},{"id":"2206.02780","title":"GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions","created":"2022-06-06","cited_by_count":30},{"id":"2203.15309","title":"MatchNorm: Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World","created":"2022-03-29","cited_by_count":13},{"id":"2310.19464","title":"Generative Neural Fields by Mixtures of Neural Implicit Functions","created":"2023-10-30","cited_by_count":10},{"id":"2112.01801","title":"Mesh Convolution with Continuous Filters for 3D Surface Parsing","created":"2021-12-03","cited_by_count":4},{"id":"2304.13995","title":"Rotation and Translation Invariant Representation Learning with Implicit Neural Representations","created":"2023-04-27","cited_by_count":4}],"next_cursor":null}