{"list":"other","total":53,"rows":[{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"1912.01703","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","created":"2019-12-03","cited_by_count":20305},{"id":"1612.00593","title":"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation","created":"2016-12-02","cited_by_count":5248},{"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":"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":"2008.02268","title":"NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections","created":"2020-08-05","cited_by_count":1232},{"id":"1812.02822","title":"Learning Implicit Fields for Generative Shape Modeling","created":"2018-12-06","cited_by_count":1060},{"id":"1612.00603","title":"A Point Set Generation Network for 3D Object Reconstruction from a Single Image","created":"2016-12-02","cited_by_count":979},{"id":"2011.12100","title":"GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields","created":"2020-11-24","cited_by_count":785},{"id":"2007.08501","title":"Accelerating 3D Deep Learning with PyTorch3D","created":"2020-07-16","cited_by_count":784},{"id":"2003.04618","title":"Convolutional Occupancy Networks","created":"2020-03-10","cited_by_count":761},{"id":"1801.09847","title":"Open3D: A Modern Library for 3D Data Processing","created":"2018-01-30","cited_by_count":721},{"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":"2103.13744","title":"KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs","created":"2021-03-25","cited_by_count":673},{"id":"1804.01654","title":"Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images","created":"2018-04-05","cited_by_count":651},{"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":"1604.00449","title":"3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction","created":"2016-04-02","cited_by_count":588},{"id":"1610.07584","title":"Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling","created":"2016-10-24","cited_by_count":558},{"id":"1802.05384","title":"AtlasNet: A Papier-M\\^ach\\'e Approach to Learning 3D Surface Generation","created":"2018-02-15","cited_by_count":539},{"id":"1906.12320","title":"PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows","created":"2019-06-28","cited_by_count":488},{"id":"1812.01024","title":"DeepVoxels: Learning Persistent 3D Feature Embeddings","created":"2018-12-03","cited_by_count":405},{"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":"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":"1905.07259","title":"Texture Fields: Learning Texture Representations in Function Space","created":"2019-05-17","cited_by_count":210},{"id":"1605.04797","title":"Thingi10K: A Dataset of 10,000 3D-Printing Models","created":"2016-05-16","cited_by_count":183},{"id":"1911.13225","title":"DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing","created":"2019-11-29","cited_by_count":180},{"id":"1904.04290","title":"Neural Rerendering in the Wild","created":"2019-04-08","cited_by_count":121},{"id":"2006.03997","title":"MeshSDF: Differentiable Iso-Surface Extraction","created":"2020-06-06","cited_by_count":112},{"id":"1811.10943","title":"Deep Geometric Prior for Surface Reconstruction","created":"2018-11-27","cited_by_count":110},{"id":"2104.06849","title":"LEAP: Learning Articulated Occupancy of People","created":"2021-04-14","cited_by_count":107},{"id":"1712.10215","title":"ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans","created":"2017-12-29","cited_by_count":103},{"id":"1710.04954","title":"PCPNET: Learning Local Shape Properties from Raw Point Clouds","created":"2017-10-13","cited_by_count":98},{"id":"1901.02039","title":"Spherical CNNs on Unstructured Grids","created":"2019-01-07","cited_by_count":79},{"id":"1912.00036","title":"SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans","created":"2019-11-29","cited_by_count":77},{"id":"2104.07660","title":"SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements","created":"2021-04-15","cited_by_count":72},{"id":"2005.03844","title":"SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving","created":"2020-05-08","cited_by_count":68},{"id":"2007.10973","title":"Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows","created":"2020-07-21","cited_by_count":61},{"id":"1802.01698","title":"Robust Watertight Manifold Surface Generation Method for ShapeNet Models","created":"2018-02-05","cited_by_count":59},{"id":"1812.00709","title":"Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks","created":"2018-12-03","cited_by_count":44},{"id":"2003.10826","title":"DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares","created":"2020-03-23","cited_by_count":43},{"id":"2105.01604","title":"Orienting Point Clouds with Dipole Propagation","created":"2021-05-04","cited_by_count":31},{"id":"2011.05813","title":"Dynamic Plane Convolutional Occupancy Networks","created":"2020-11-11","cited_by_count":24},{"id":"2001.01744","title":"Meshlet Priors for 3D Mesh Reconstruction","created":"2020-01-06","cited_by_count":23},{"id":"2012.14240","title":"DeepSurfels: Learning Online Appearance Fusion","created":"2020-12-28","cited_by_count":13},{"id":"1709.07581","title":"Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network","created":"2017-09-22","cited_by_count":6}],"next_cursor":null}