{"list":"other","total":64,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1812.04948","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","created":"2018-12-12","cited_by_count":6013},{"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":"1702.04405","title":"ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes","created":"2017-02-14","cited_by_count":3117},{"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":"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":"1703.06868","title":"Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization","created":"2017-03-20","cited_by_count":2010},{"id":"2011.00931","title":"Point Transformer","created":"2020-11-02","cited_by_count":1470},{"id":"1904.08889","title":"KPConv: Flexible and Deformable Convolution for Point Clouds","created":"2019-04-18","cited_by_count":1205},{"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":"1801.07791","title":"PointCNN: Convolution On $\\mathcal{X}$-Transformed Points","created":"2018-01-23","cited_by_count":764},{"id":"2012.09688","title":"PCT: Point cloud transformer","created":"2020-12-17","cited_by_count":732},{"id":"1811.07246","title":"PointConv: Deep Convolutional Networks on 3D Point Clouds","created":"2018-11-17","cited_by_count":657},{"id":"1804.01654","title":"Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images","created":"2018-04-05","cited_by_count":651},{"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":"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":"1808.00671","title":"PCN: Point Completion Network","created":"2018-08-02","cited_by_count":384},{"id":"2108.08839","title":"PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers","created":"2021-08-19","cited_by_count":286},{"id":"2008.06520","title":"Learning Gradient Fields for Shape Generation","created":"2020-08-14","cited_by_count":245},{"id":"1612.00101","title":"Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis","created":"2016-12-01","cited_by_count":219},{"id":"1801.06761","title":"PU-Net: Point Cloud Upsampling Network","created":"2018-01-21","cited_by_count":209},{"id":"2203.09516","title":"AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation","created":"2022-03-17","cited_by_count":208},{"id":"2006.03761","title":"GRNet: Gridding Residual Network for Dense Point Cloud Completion","created":"2020-06-06","cited_by_count":174},{"id":"1905.06292","title":"3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions","created":"2019-05-15","cited_by_count":173},{"id":"1901.11153","title":"Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images","created":"2019-01-31","cited_by_count":164},{"id":"2108.04444","title":"SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer","created":"2021-08-10","cited_by_count":164},{"id":"1812.03320","title":"GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud","created":"2018-12-08","cited_by_count":146},{"id":"2003.00410","title":"PF-Net: Point Fractal Network for 3D Point Cloud Completion","created":"2020-03-01","cited_by_count":146},{"id":"1912.00280","title":"Morphing and Sampling Network for Dense Point Cloud Completion","created":"2019-11-30","cited_by_count":132},{"id":"2003.06473","title":"Self-supervised Single-view 3D Reconstruction via Semantic Consistency","created":"2020-03-13","cited_by_count":127},{"id":"2001.10692","title":"ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes","created":"2020-01-29","cited_by_count":119},{"id":"2004.03327","title":"Cascaded Refinement Network for Point Cloud Completion","created":"2020-04-07","cited_by_count":112},{"id":"1909.00321","title":"Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks","created":"2019-09-01","cited_by_count":106},{"id":"1810.05591","title":"PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention","created":"2018-10-12","cited_by_count":105},{"id":"1908.01491","title":"Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation","created":"2019-08-05","cited_by_count":103},{"id":"1912.03264","title":"PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks","created":"2019-11-30","cited_by_count":101},{"id":"2012.03408","title":"PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths","created":"2020-12-07","cited_by_count":97},{"id":"1709.07599","title":"High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference","created":"2017-09-22","cited_by_count":87},{"id":"2207.10315","title":"SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer","created":"2022-07-21","cited_by_count":83},{"id":"2006.12250","title":"Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images","created":"2020-06-22","cited_by_count":79},{"id":"2106.04779","title":"Point Cloud Upsampling via Disentangled Refinement","created":"2021-06-09","cited_by_count":74},{"id":"2007.02374","title":"Detail Preserved Point Cloud Completion via Separated Feature Aggregation","created":"2020-07-05","cited_by_count":70},{"id":"2010.10505","title":"SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images","created":"2020-10-20","cited_by_count":68},{"id":"1904.00069","title":"Unpaired Point Cloud Completion on Real Scans using Adversarial Training","created":"2019-03-29","cited_by_count":66},{"id":"2108.08035","title":"Adaptive Graph Convolution for Point Cloud Analysis","created":"2021-08-18","cited_by_count":60},{"id":"2104.03501","title":"DeepI2P: Image-to-Point Cloud Registration via Deep Classification","created":"2021-04-08","cited_by_count":59},{"id":"1904.12304","title":"RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion","created":"2019-04-28","cited_by_count":58},{"id":"2103.07838","title":"Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding","created":"2021-03-14","cited_by_count":50},{"id":"2104.05666","title":"View-Guided Point Cloud Completion","created":"2021-04-12","cited_by_count":46},{"id":"2103.02535","title":"Style-based Point Generator with Adversarial Rendering for Point Cloud Completion","created":"2021-03-03","cited_by_count":45},{"id":"2203.03311","title":"Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis","created":"2022-03-07","cited_by_count":44},{"id":"2203.08485","title":"PointAttN: You Only Need Attention for Point Cloud Completion","created":"2022-03-16","cited_by_count":44},{"id":"2205.14886","title":"Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors","created":"2022-05-30","cited_by_count":43},{"id":"2007.02578","title":"Learning Graph-Convolutional Representations for Point Cloud Denoising","created":"2020-07-06","cited_by_count":40},{"id":"2205.07417","title":"Transformers in 3D Point Clouds: A Survey","created":"2022-05-16","cited_by_count":31},{"id":"2205.06267","title":"Topologically-Aware Deformation Fields for Single-View 3D Reconstruction","created":"2022-05-12","cited_by_count":29},{"id":"2204.08196","title":"Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation","created":"2022-04-18","cited_by_count":24},{"id":"2206.04665","title":"AGConv: Adaptive Graph Convolution on 3D Point Clouds","created":"2022-06-09","cited_by_count":13},{"id":"2203.12917","title":"WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation","created":"2022-03-24","cited_by_count":7}],"next_cursor":null}