{"total":198,"rows":[{"id":"2205.14401","title":"Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training","created":"2022-05-28","cited_by_count":264,"area":null},{"id":"2306.17115","title":"Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation","created":"2023-06-29","cited_by_count":228,"area":null},{"id":"2309.00615","title":"Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following","created":"2023-09-01","cited_by_count":194,"area":null},{"id":"2402.10739","title":"PointMamba: A Simple State Space Model for Point Cloud Analysis","created":"2024-02-16","cited_by_count":167,"area":"ssm"},{"id":"2302.02318","title":"Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining","created":"2023-02-05","cited_by_count":164,"area":null},{"id":"2210.01055","title":"CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training","created":"2022-10-03","cited_by_count":160,"area":null},{"id":"2303.02151","title":"Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners","created":"2023-03-03","cited_by_count":152,"area":null},{"id":"2212.06785","title":"Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders","created":"2022-12-13","cited_by_count":144,"area":null},{"id":"2212.08320","title":"Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?","created":"2022-12-16","cited_by_count":122,"area":"distill"},{"id":"2305.11487","title":"PointGPT: Auto-regressively Generative Pre-training from Point Clouds","created":"2023-05-19","cited_by_count":115,"area":null},{"id":"2303.04748","title":"CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP","created":"2023-03-08","cited_by_count":89,"area":null},{"id":"2303.11313","title":"CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition","created":"2023-03-20","cited_by_count":77,"area":"mllm"},{"id":"2303.16894","title":"ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance","created":"2023-03-29","cited_by_count":70,"area":null},{"id":"2303.12417","title":"CLIP$^2$: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data","created":"2023-03-22","cited_by_count":69,"area":null},{"id":"2304.07221","title":"Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models","created":"2023-04-14","cited_by_count":68,"area":null},{"id":"2303.12076","title":"Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play","created":"2023-03-21","cited_by_count":62,"area":null},{"id":"2304.01008","title":"Self-Supervised Multimodal Learning: A Survey","created":"2023-03-31","cited_by_count":58,"area":null},{"id":"2212.03010","title":"GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds","created":"2022-12-06","cited_by_count":57,"area":null},{"id":"2404.14966","title":"Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model","created":"2024-04-23","cited_by_count":57,"area":"ssm"},{"id":"2304.06061","title":"CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes","created":"2023-04-12","cited_by_count":55,"area":"mllm"},{"id":"2303.08129","title":"PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection","created":"2023-03-14","cited_by_count":53,"area":null},{"id":"2403.01439","title":"Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis","created":"2024-03-03","cited_by_count":53,"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":"2301.00157","title":"Ponder: Point Cloud Pre-training via Neural Rendering","created":"2022-12-31","cited_by_count":50,"area":null},{"id":"2311.14960","title":"Point Cloud Pre-training with Diffusion Models","created":"2023-11-25","cited_by_count":47,"area":"diffusion"},{"id":"2303.13664","title":"Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data","created":"2023-03-23","cited_by_count":44,"area":null},{"id":"2310.17504","title":"Three Pillars improving Vision Foundation Model Distillation for Lidar","created":"2023-10-26","cited_by_count":44,"area":null},{"id":"2410.08114","title":"Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning","created":"2024-10-10","cited_by_count":43,"area":null},{"id":"2310.03059","title":"Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models","created":"2023-10-04","cited_by_count":42,"area":null},{"id":"2411.14517","title":"The Double-Ellipsoid Geometry of CLIP","created":"2024-11-21","cited_by_count":42,"area":null},{"id":"2209.00244","title":"MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment","created":"2022-09-01","cited_by_count":39,"area":null},{"id":"2212.06858","title":"LidarCLIP or: How I Learned to Talk to Point Clouds","created":"2022-12-13","cited_by_count":33,"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":"2211.09778","title":"I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision","created":"2022-11-17","cited_by_count":26,"area":null},{"id":"2307.14971","title":"Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models","created":"2023-07-27","cited_by_count":25,"area":null},{"id":"2408.04604","title":"Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning","created":"2024-08-08","cited_by_count":25,"area":null},{"id":"2308.12113","title":"Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey","created":"2023-08-23","cited_by_count":24,"area":null},{"id":"2311.02608","title":"Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook","created":"2023-11-05","cited_by_count":24,"area":null},{"id":"2408.08753","title":"PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders","created":"2024-08-16","cited_by_count":24,"area":null},{"id":"2305.04075","title":"PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos","created":"2023-05-06","cited_by_count":22,"area":null},{"id":"2306.02329","title":"Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes","created":"2023-06-04","cited_by_count":22,"area":"mllm"},{"id":"2305.04691","title":"Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey","created":"2023-05-08","cited_by_count":21,"area":null},{"id":"2603.03283","title":"Utonia: Toward One Encoder for All Point Clouds","created":"2026-03-03","cited_by_count":21,"area":null},{"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":"2311.01734","title":"Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training","created":"2023-11-03","cited_by_count":18,"area":null},{"id":"2602.23069","title":"Align then Adapt: Rethinking Parameter-Efficient Transfer Learning in 4D Perception","created":"2026-02-26","cited_by_count":18,"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":"2308.09247","title":"Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos","created":"2023-08-18","cited_by_count":16,"area":null},{"id":"2402.15823","title":"Parameter-efficient Prompt Learning for 3D Point Cloud Understanding","created":"2024-02-24","cited_by_count":16,"area":null},{"id":"2407.05862","title":"Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning","created":"2024-07-08","cited_by_count":16,"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":"2304.08965","title":"PointDC:Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering","created":"2023-04-18","cited_by_count":15,"area":null},{"id":"2301.07584","title":"Joint Representation Learning for Text and 3D Point Cloud","created":"2023-01-18","cited_by_count":14,"area":"mllm"},{"id":"2305.19623","title":"Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast","created":"2023-05-31","cited_by_count":14,"area":null},{"id":"2403.10066","title":"Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment","created":"2024-03-15","cited_by_count":14,"area":null},{"id":"2409.15803","title":"3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning","created":"2024-09-24","cited_by_count":14,"area":null},{"id":"2504.16023","title":"PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning","created":"2025-04-22","cited_by_count":14,"area":null},{"id":"2304.06911","title":"3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining","created":"2023-04-14","cited_by_count":13,"area":null},{"id":"2305.09299","title":"UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning","created":"2023-05-16","cited_by_count":13,"area":null},{"id":"2308.09694","title":"Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition","created":"2023-08-18","cited_by_count":13,"area":null},{"id":"2208.06811","title":"Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering","created":"2022-08-14","cited_by_count":12,"area":null},{"id":"2405.17149","title":"LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling","created":"2024-05-27","cited_by_count":12,"area":"ssm"},{"id":"2410.00871","title":"MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining","created":"2024-10-01","cited_by_count":12,"area":"ssm"},{"id":"2207.07874","title":"Model-Aware Contrastive Learning: Towards Escaping the Dilemmas","created":"2022-07-16","cited_by_count":11,"area":null},{"id":"2512.08330","title":"PointDico: Contrastive 3D Representation Learning Guided by Diffusion Models","created":"2025-12-09","cited_by_count":11,"area":"diffusion"},{"id":"2207.03128","title":"PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape Recognition","created":"2022-07-07","cited_by_count":10,"area":null},{"id":"2406.09606","title":"Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis","created":"2024-06-13","cited_by_count":10,"area":null},{"id":"2512.17817","title":"Chorus: Multi-Teacher Pretraining for Holistic 3D Gaussian Scene Encoding","created":"2025-12-19","cited_by_count":10,"area":null},{"id":"2211.06841","title":"Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning","created":"2022-11-13","cited_by_count":9,"area":null},{"id":"2303.01979","title":"ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion","created":"2023-03-02","cited_by_count":9,"area":null},{"id":"2304.10179","title":"SCoDA: Domain Adaptive Shape Completion for Real Scans","created":"2023-04-20","cited_by_count":9,"area":null},{"id":"2310.16861","title":"General Point Model with Autoencoding and Autoregressive","created":"2023-10-25","cited_by_count":9,"area":null},{"id":"2312.04519","title":"Bootstrapping Autonomous Driving Radars with Self-Supervised Learning","created":"2023-12-07","cited_by_count":9,"area":null},{"id":"2210.15904","title":"Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis","created":"2022-10-28","cited_by_count":8,"area":null},{"id":"2303.14376","title":"ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding","created":"2023-03-25","cited_by_count":8,"area":null},{"id":"2407.10200","title":"Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data","created":"2024-07-14","cited_by_count":8,"area":null},{"id":"2209.12255","title":"Collaboration of Pre-trained Models Makes Better Few-shot Learner","created":"2022-09-25","cited_by_count":7,"area":null},{"id":"2212.08974","title":"3D Point Cloud Pre-training with Knowledge Distillation from 2D Images","created":"2022-12-17","cited_by_count":7,"area":"distill"},{"id":"2212.14197","title":"PointVST: Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image Translation","created":"2022-12-29","cited_by_count":7,"area":null},{"id":"2509.01250","title":"Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views","created":"2025-09-01","cited_by_count":7,"area":null},{"id":"2210.02798","title":"Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding","created":"2022-10-06","cited_by_count":6,"area":null},{"id":"2211.14091","title":"Language-Assisted 3D Feature Learning for Semantic Scene Understanding","created":"2022-11-25","cited_by_count":6,"area":null},{"id":"2305.06973","title":"FreePoint: Unsupervised Point Cloud Instance Segmentation","created":"2023-05-11","cited_by_count":6,"area":null},{"id":"2310.03670","title":"Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning","created":"2023-09-25","cited_by_count":6,"area":null},{"id":"2401.02610","title":"DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning","created":"2024-01-05","cited_by_count":6,"area":null},{"id":"2401.09057","title":"CrossVideo: Self-supervised Cross-modal Contrastive Learning for Point Cloud Video Understanding","created":"2024-01-17","cited_by_count":6,"area":null},{"id":"2403.07706","title":"Fast and Simple Explainability for Point Cloud Networks","created":"2024-03-12","cited_by_count":6,"area":null},{"id":"2403.11113","title":"Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis","created":"2024-03-17","cited_by_count":6,"area":null},{"id":"2508.01651","title":"Diffusion Models are Open-World Affordance Learners: Leveraging Generative Priors for 3D Affordance Learning","created":"2025-08-03","cited_by_count":6,"area":"diffusion"},{"id":"2605.03639","title":"Diffusion Masked Pretraining for Dynamic Point Cloud","created":"2026-05-05","cited_by_count":6,"area":"diffusion"},{"id":"2606.24175","title":"Tri-Efficient Transfer Learning for Point Cloud Videos","created":"2026-06-23","cited_by_count":6,"area":null},{"id":"2211.11801","title":"Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data","created":"2022-11-21","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":"2301.00149","title":"Rethinking Rotation Invariance with Point Cloud Registration","created":"2022-12-31","cited_by_count":5,"area":null},{"id":"2308.14126","title":"Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation","created":"2023-08-27","cited_by_count":5,"area":null},{"id":"2309.11006","title":"STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy","created":"2023-09-20","cited_by_count":5,"area":null},{"id":"2310.14592","title":"Pre-Training LiDAR-Based 3D Object Detectors Through Colorization","created":"2023-10-23","cited_by_count":5,"area":null},{"id":"2410.09886","title":"Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning","created":"2024-10-13","cited_by_count":5,"area":null},{"id":"2502.17860","title":"UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting","created":"2025-02-25","cited_by_count":5,"area":null},{"id":"2303.06678","title":"PointPatchMix: Point Cloud Mixing with Patch Scoring","created":"2023-03-12","cited_by_count":4,"area":null}],"next_cursor":"100"}