{"total":91,"rows":[{"id":"2103.01458","title":"Diffusion Probabilistic Models for 3D Point Cloud Generation","created":"2021-03-02","cited_by_count":735,"area":"diffusion"},{"id":"2104.03670","title":"3D Shape Generation and Completion through Point-Voxel Diffusion","created":"2021-04-08","cited_by_count":516,"area":null},{"id":"2101.02691","title":"Self-Supervised Pretraining of 3D Features on any Point-Cloud","created":"2021-01-07","cited_by_count":217,"area":null},{"id":"2301.05712","title":"A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends","created":"2023-01-13","cited_by_count":207,"area":null},{"id":"2203.00680","title":"CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding","created":"2022-03-01","cited_by_count":198,"area":null},{"id":"2109.00179","title":"Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds","created":"2021-09-01","cited_by_count":180,"area":null},{"id":"2312.17225","title":"4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency","created":"2023-12-28","cited_by_count":117,"area":"diffusion"},{"id":"2305.11487","title":"PointGPT: Auto-regressively Generative Pre-training from Point Clouds","created":"2023-05-19","cited_by_count":115,"area":null},{"id":"2307.01831","title":"DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation","created":"2023-07-04","cited_by_count":110,"area":"diffusion"},{"id":"2209.03954","title":"Learning to Generate Realistic LiDAR Point Clouds","created":"2022-09-08","cited_by_count":93,"area":"wm"},{"id":"2205.05740","title":"Surface Representation for Point Clouds","created":"2022-05-11","cited_by_count":84,"area":null},{"id":"2410.05340","title":"Generating CAD Code with Vision-Language Models for 3D Designs","created":"2024-10-07","cited_by_count":62,"area":null},{"id":"2102.01929","title":"Regularization Strategy for Point Cloud via Rigidly Mixed Sample","created":"2021-02-03","cited_by_count":59,"area":null},{"id":"2112.04903","title":"PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis","created":"2021-12-09","cited_by_count":58,"area":null},{"id":"2202.13589","title":"Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey","created":"2022-02-28","cited_by_count":54,"area":null},{"id":"2107.01886","title":"Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning","created":"2021-07-05","cited_by_count":52,"area":null},{"id":"2302.14007","title":"Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training","created":"2023-02-27","cited_by_count":52,"area":null},{"id":"2103.15627","title":"Learning Generative Models of Textured 3D Meshes from Real-World Images","created":"2021-03-29","cited_by_count":44,"area":null},{"id":"2108.07794","title":"RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection","created":"2021-08-17","cited_by_count":37,"area":null},{"id":"2204.01955","title":"Autoregressive 3D Shape Generation via Canonical Mapping","created":"2022-04-05","cited_by_count":37,"area":null},{"id":"2205.07417","title":"Transformers in 3D Point Clouds: A Survey","created":"2022-05-16","cited_by_count":31,"area":null},{"id":"2108.12468","title":"Learning Inner-Group Relations on Point Clouds","created":"2021-08-27","cited_by_count":29,"area":null},{"id":"2411.00698","title":"Wasserstein Flow Matching: Generative modeling over families of distributions","created":"2024-11-01","cited_by_count":28,"area":"diffusion"},{"id":"2212.04744","title":"Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud","created":"2022-12-09","cited_by_count":27,"area":null},{"id":"2305.08776","title":"Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models","created":"2023-05-15","cited_by_count":27,"area":"distill"},{"id":"2201.00112","title":"SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators","created":"2022-01-01","cited_by_count":26,"area":null},{"id":"2210.03974","title":"FBNet: Feedback Network for Point Cloud Completion","created":"2022-10-08","cited_by_count":20,"area":null},{"id":"2202.04241","title":"Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning","created":"2022-02-09","cited_by_count":19,"area":"distill"},{"id":"2203.14084","title":"3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds","created":"2022-03-26","cited_by_count":18,"area":null},{"id":"2306.07598","title":"Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images","created":"2023-06-13","cited_by_count":18,"area":null},{"id":"2106.03135","title":"Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction","created":"2021-06-06","cited_by_count":16,"area":null},{"id":"2108.03225","title":"GLASS: Geometric Latent Augmentation for Shape Spaces","created":"2021-08-06","cited_by_count":16,"area":null},{"id":"2204.00989","title":"POS-BERT: Point Cloud One-Stage BERT Pre-Training","created":"2022-04-03","cited_by_count":16,"area":null},{"id":"2206.04028","title":"CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving","created":"2022-06-08","cited_by_count":15,"area":null},{"id":"2207.03111","title":"Masked Surfel Prediction for Self-Supervised Point Cloud Learning","created":"2022-07-07","cited_by_count":15,"area":null},{"id":"2211.13220","title":"TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation","created":"2022-11-23","cited_by_count":14,"area":"diffusion"},{"id":"2206.04665","title":"AGConv: Adaptive Graph Convolution on 3D Point Clouds","created":"2022-06-09","cited_by_count":13,"area":null},{"id":"2112.05213","title":"Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning","created":"2021-12-09","cited_by_count":12,"area":null},{"id":"2208.08580","title":"MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation","created":"2022-08-18","cited_by_count":10,"area":null},{"id":"2201.08215","title":"CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning","created":"2022-01-20","cited_by_count":9,"area":null},{"id":"2202.02543","title":"Unsupervised Point Cloud Pre-Training via Contrasting and Clustering","created":"2022-02-05","cited_by_count":9,"area":null},{"id":"2311.12090","title":"FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation","created":"2023-11-20","cited_by_count":9,"area":"diffusion"},{"id":"2107.00430","title":"Language-Level Semantics Conditioned 3D Point Cloud Segmentation","created":"2021-07-01","cited_by_count":7,"area":null},{"id":"2108.03743","title":"Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views","created":"2021-08-08","cited_by_count":7,"area":null},{"id":"2206.05837","title":"NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape Representation","created":"2022-06-12","cited_by_count":7,"area":null},{"id":"2112.06389","title":"Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation","created":"2021-12-13","cited_by_count":6,"area":null},{"id":"2112.13942","title":"PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation","created":"2021-12-27","cited_by_count":6,"area":null},{"id":"2309.00158","title":"BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models","created":"2023-08-31","cited_by_count":6,"area":"diffusion"},{"id":"2410.11816","title":"Jigsaw++: Imagining Complete Shape Priors for Object Reassembly","created":"2024-10-15","cited_by_count":6,"area":null},{"id":"2106.14274","title":"Learning Mesh Representations via Binary Space Partitioning Tree Networks","created":"2021-06-27","cited_by_count":5,"area":null},{"id":"2108.02104","title":"Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis","created":"2021-08-04","cited_by_count":5,"area":null},{"id":"2209.10008","title":"Fine-Grained VR Sketching: Dataset and Insights","created":"2022-09-20","cited_by_count":5,"area":null},{"id":"2211.12032","title":"PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding","created":"2022-11-22","cited_by_count":5,"area":null},{"id":"2409.16446","title":"Underground Mapping and Localization Based on Ground-Penetrating Radar","created":"2024-09-24","cited_by_count":5,"area":null},{"id":"2203.10768","title":"Upsampling Autoencoder for Self-Supervised Point Cloud Learning","created":"2022-03-21","cited_by_count":4,"area":null},{"id":"2205.12627","title":"Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives","created":"2022-05-25","cited_by_count":4,"area":null},{"id":"2210.01021","title":"Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction","created":"2022-10-03","cited_by_count":4,"area":null},{"id":"2210.04072","title":"Flow-based GAN for 3D Point Cloud Generation from a Single Image","created":"2022-10-08","cited_by_count":4,"area":null},{"id":"2101.11987","title":"PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation","created":"2021-01-28","cited_by_count":3,"area":null},{"id":"2103.00787","title":"Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations","created":"2021-03-01","cited_by_count":3,"area":null},{"id":"2107.08392","title":"Dynamic Convolution for 3D Point Cloud Instance Segmentation","created":"2021-07-18","cited_by_count":3,"area":null},{"id":"2107.13087","title":"DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis","created":"2021-07-27","cited_by_count":3,"area":null},{"id":"2306.04411","title":"Synthesizing realistic sand assemblies with denoising diffusion in latent space","created":"2023-06-07","cited_by_count":3,"area":"diffusion"},{"id":"2309.15941","title":"AutoEncoding Tree for City Generation and Applications","created":"2023-09-27","cited_by_count":3,"area":null},{"id":"2410.12158","title":"SAM-Guided Masked Token Prediction for 3D Scene Understanding","created":"2024-10-16","cited_by_count":3,"area":"distill"},{"id":"2106.05607","title":"Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition","created":"2021-06-10","cited_by_count":2,"area":null},{"id":"2202.02669","title":"SRPCN: Structure Retrieval based Point Completion Network","created":"2022-02-06","cited_by_count":2,"area":null},{"id":"2311.11184","title":"Diverse Shape Completion via Style Modulated Generative Adversarial Networks","created":"2023-11-18","cited_by_count":2,"area":null},{"id":"2403.01663","title":"PillarGen: Enhancing Radar Point Cloud Density and Quality via Pillar-based Point Generation Network","created":"2024-03-04","cited_by_count":2,"area":null},{"id":"2108.01411","title":"HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population","created":"2021-08-03","cited_by_count":1,"area":null},{"id":"2110.06632","title":"Unsupervised Contrastive Learning with Simple Transformation for 3D Point Cloud Data","created":"2021-10-13","cited_by_count":1,"area":null},{"id":"2112.02507","title":"Adaptive Channel Encoding Transformer for Point Cloud Analysis","created":"2021-12-05","cited_by_count":1,"area":null},{"id":"2202.06407","title":"Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model","created":"2022-02-13","cited_by_count":1,"area":null},{"id":"2208.05962","title":"PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees","created":"2022-08-11","cited_by_count":1,"area":null},{"id":"2209.06971","title":"PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack","created":"2022-09-14","cited_by_count":1,"area":null},{"id":"2302.14306","title":"CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping","created":"2023-02-28","cited_by_count":1,"area":null},{"id":"2304.08994","title":"Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation Logistics","created":"2023-04-18","cited_by_count":1,"area":null},{"id":"2505.09140","title":"TopoDiT-3D: Topology-Aware Diffusion Transformer with Bottleneck Structure for 3D Point Cloud Generation","created":"2025-05-14","cited_by_count":1,"area":"diffusion"},{"id":"2108.09228","title":"Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis","created":"2021-08-20","cited_by_count":0,"area":null},{"id":"2109.11844","title":"Learnable Triangulation for Deep Learning-based 3D Reconstruction of Objects of Arbitrary Topology from Single RGB Images","created":"2021-09-24","cited_by_count":0,"area":null},{"id":"2112.02509","title":"Adaptive Channel Encoding for Point Cloud Analysis","created":"2021-12-05","cited_by_count":0,"area":null},{"id":"2112.11133","title":"Cloud Sphere: A 3D Shape Representation via Progressive Deformation","created":"2021-12-21","cited_by_count":0,"area":null},{"id":"2207.00182","title":"Recovering Detail in 3D Shapes Using Disparity Maps","created":"2022-07-01","cited_by_count":0,"area":null},{"id":"2211.09770","title":"3DLatNav: Navigating Generative Latent Spaces for Semantic-Aware 3D Object Manipulation","created":"2022-11-17","cited_by_count":0,"area":null},{"id":"2309.16850","title":"Sketch2CAD: 3D CAD Model Reconstruction from 2D Sketch using Visual Transformer","created":"2023-09-28","cited_by_count":0,"area":null},{"id":"2311.00425","title":"Neural Implicit Field Editing Considering Object-environment Interaction","created":"2023-11-01","cited_by_count":0,"area":null},{"id":"2407.04833","title":"3D Adaptive Structural Convolution Network for Domain-Invariant Point Cloud Recognition","created":"2024-07-05","cited_by_count":0,"area":null},{"id":"2408.15899","title":"Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones","created":"2024-08-28","cited_by_count":0,"area":"diffusion"},{"id":"2502.13873","title":"NVR: Vector Runahead on NPUs for Sparse Memory Access","created":"2025-02-19","cited_by_count":0,"area":null},{"id":"2509.17206","title":"Guided and Unguided Conditional Diffusion Mechanisms for Structured and Semantically-Aware 3D Point Cloud Generation","created":"2025-09-21","cited_by_count":0,"area":null},{"id":"2509.22150","title":"Joint graph entropy knowledge distillation for point cloud classification and robustness against corruptions","created":"2025-09-26","cited_by_count":0,"area":"distill"}],"next_cursor":null}