{"total":139,"rows":[{"id":"2109.00512","title":"Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction","created":"2021-09-01","cited_by_count":652,"area":null},{"id":"2312.16256","title":"DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision","created":"2023-12-26","cited_by_count":537,"area":null},{"id":"2111.08897","title":"ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data","created":"2021-11-17","cited_by_count":454,"area":null},{"id":"2110.06199","title":"ABO: Dataset and Benchmarks for Real-World 3D Object Understanding","created":"2021-10-12","cited_by_count":366,"area":null},{"id":"2301.07525","title":"OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation","created":"2023-01-18","cited_by_count":326,"area":null},{"id":"2312.17172","title":"Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action","created":"2023-12-28","cited_by_count":302,"area":null},{"id":"2303.06042","title":"MVImgNet: A Large-scale Dataset of Multi-view Images","created":"2023-03-10","cited_by_count":220,"area":null},{"id":"2306.06362","title":"Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception","created":"2023-06-10","cited_by_count":167,"area":null},{"id":"2207.10660","title":"Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild","created":"2022-07-21","cited_by_count":160,"area":null},{"id":"2210.00379","title":"NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)","created":"2022-10-01","cited_by_count":158,"area":null},{"id":"2205.12257","title":"OnePose: One-Shot Object Pose Estimation without CAD Models","created":"2022-05-24","cited_by_count":157,"area":null},{"id":"2401.12592","title":"RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos","created":"2024-01-23","cited_by_count":115,"area":null},{"id":"2511.05491","title":"Visual Spatial Tuning","created":"2025-11-07","cited_by_count":89,"area":null},{"id":"2305.04926","title":"RelPose++: Recovering 6D Poses from Sparse-view Observations","created":"2023-05-08","cited_by_count":87,"area":null},{"id":"2212.03239","title":"Perspective Fields for Single Image Camera Calibration","created":"2022-12-06","cited_by_count":75,"area":null},{"id":"2202.03377","title":"Benchmarking and Analyzing Point Cloud Classification under Corruptions","created":"2022-02-07","cited_by_count":70,"area":null},{"id":"2212.11966","title":"Removing Objects From Neural Radiance Fields","created":"2022-12-22","cited_by_count":66,"area":null},{"id":"2411.08128","title":"CameraHMR: Aligning People with Perspective","created":"2024-11-12","cited_by_count":65,"area":null},{"id":"2401.17807","title":"Advances in 3D Generation: A Survey","created":"2024-01-31","cited_by_count":63,"area":null},{"id":"2206.15436","title":"Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset","created":"2022-06-30","cited_by_count":59,"area":null},{"id":"2204.03635","title":"Zero-Shot Category-Level Object Pose Estimation","created":"2022-04-07","cited_by_count":57,"area":null},{"id":"2210.10108","title":"Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation","created":"2022-10-18","cited_by_count":55,"area":null},{"id":"2212.10428","title":"HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios","created":"2022-12-20","cited_by_count":53,"area":null},{"id":"2306.09109","title":"NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations","created":"2023-06-15","cited_by_count":53,"area":null},{"id":"2210.03895","title":"ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints","created":"2022-10-08","cited_by_count":48,"area":null},{"id":"2308.01477","title":"HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions","created":"2023-08-02","cited_by_count":48,"area":null},{"id":"2104.08418","title":"FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling","created":"2021-04-17","cited_by_count":47,"area":null},{"id":"2109.06161","title":"Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image","created":"2021-09-13","cited_by_count":42,"area":null},{"id":"2309.08816","title":"EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding","created":"2023-09-15","cited_by_count":40,"area":null},{"id":"2405.07801","title":"Deep Learning-Based Object Pose Estimation: A Comprehensive Survey","created":"2024-05-13","cited_by_count":40,"area":null},{"id":"2203.09494","title":"Transframer: Arbitrary Frame Prediction with Generative Models","created":"2022-03-17","cited_by_count":37,"area":null},{"id":"2306.10988","title":"Tame a Wild Camera: In-the-Wild Monocular Camera Calibration","created":"2023-06-19","cited_by_count":34,"area":null},{"id":"2403.10075","title":"A survey of synthetic data augmentation methods in computer vision","created":"2024-03-15","cited_by_count":34,"area":null},{"id":"2306.05410","title":"LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs","created":"2023-06-08","cited_by_count":33,"area":null},{"id":"2504.07958","title":"Detect Anything 3D in the Wild","created":"2025-04-10","cited_by_count":33,"area":null},{"id":"2303.16730","title":"TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation","created":"2023-03-29","cited_by_count":32,"area":null},{"id":"2105.14291","title":"Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview","created":"2021-05-29","cited_by_count":31,"area":null},{"id":"2305.15727","title":"POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference","created":"2023-05-25","cited_by_count":30,"area":null},{"id":"2211.03889","title":"Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories","created":"2022-11-07","cited_by_count":29,"area":null},{"id":"2203.03089","title":"CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild","created":"2022-03-07","cited_by_count":28,"area":null},{"id":"2406.09613","title":"ImageNet3D: Towards General-Purpose Object-Level 3D Understanding","created":"2024-06-13","cited_by_count":25,"area":null},{"id":"2411.16833","title":"Open Vocabulary Monocular 3D Object Detection","created":"2024-11-25","cited_by_count":23,"area":null},{"id":"2601.05573","title":"Orient Anything V2: Unifying Orientation and Rotation Understanding","created":"2026-01-09","cited_by_count":23,"area":null},{"id":"2210.07199","title":"Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild","created":"2022-10-13","cited_by_count":22,"area":null},{"id":"2407.08711","title":"OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects","created":"2024-07-11","cited_by_count":22,"area":null},{"id":"2103.15293","title":"Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography","created":"2021-03-29","cited_by_count":21,"area":null},{"id":"2506.04633","title":"Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations","created":"2025-06-05","cited_by_count":21,"area":null},{"id":"2205.11047","title":"Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation","created":"2022-05-23","cited_by_count":19,"area":null},{"id":"2307.10235","title":"Towards Viewpoint-Invariant Visual Recognition via Adversarial Training","created":"2023-07-16","cited_by_count":19,"area":null},{"id":"2311.00750","title":"Are These the Same Apple? Comparing Images Based on Object Intrinsics","created":"2023-11-01","cited_by_count":19,"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":"2312.04117","title":"Instance Tracking in 3D Scenes from Egocentric Videos","created":"2023-12-07","cited_by_count":17,"area":null},{"id":"2501.07574","title":"UnCommon Objects in 3D","created":"2025-01-13","cited_by_count":17,"area":null},{"id":"2203.15765","title":"FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering","created":"2022-03-29","cited_by_count":16,"area":null},{"id":"2303.01932","title":"MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices","created":"2023-03-03","cited_by_count":15,"area":null},{"id":"2306.09011","title":"CAD-Estate: Large-scale CAD Model Annotation in RGB Videos","created":"2023-06-15","cited_by_count":14,"area":null},{"id":"2604.08626","title":"WildDet3D: Scaling Promptable 3D Detection in the Wild","created":"2026-04-09","cited_by_count":14,"area":null},{"id":"2312.09031","title":"iComMa: Inverting 3D Gaussian Splatting for Camera Pose Estimation via Comparing and Matching","created":"2023-12-14","cited_by_count":13,"area":null},{"id":"2412.09997","title":"GT23D-Bench: A Comprehensive General Text-to-3D Generation Benchmark","created":"2024-12-13","cited_by_count":12,"area":null},{"id":"2312.15130","title":"PACE: A Large-Scale Dataset with Pose Annotations in Cluttered Environments","created":"2023-12-23","cited_by_count":11,"area":null},{"id":"2507.23567","title":"3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection","created":"2025-07-31","cited_by_count":11,"area":null},{"id":"2203.09440","title":"TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes","created":"2022-03-17","cited_by_count":10,"area":null},{"id":"2203.11397","title":"A Real World Dataset for Multi-view 3D Reconstruction","created":"2022-03-22","cited_by_count":9,"area":null},{"id":"2411.01777","title":"Learning predictable and robust neural representations by straightening image sequences","created":"2024-11-04","cited_by_count":9,"area":null},{"id":"2511.16666","title":"SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose Manipulation","created":"2025-11-20","cited_by_count":9,"area":null},{"id":"2209.12068","title":"NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields","created":"2022-09-24","cited_by_count":8,"area":null},{"id":"2303.12779","title":"LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals","created":"2023-03-22","cited_by_count":8,"area":null},{"id":"2305.12626","title":"You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example","created":"2023-05-22","cited_by_count":8,"area":null},{"id":"2511.20648","title":"LocateAnything3D: Vision-Language 3D Detection with Chain-of-Sight","created":"2025-11-25","cited_by_count":8,"area":null},{"id":"2602.10113","title":"ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation","created":"2026-02-10","cited_by_count":8,"area":null},{"id":"2210.04127","title":"Towards Efficient Neural Scene Graphs by Learning Consistency Fields","created":"2022-10-09","cited_by_count":7,"area":null},{"id":"2307.11528","title":"Improving Viewpoint Robustness for Visual Recognition via Adversarial Training","created":"2023-07-21","cited_by_count":7,"area":null},{"id":"2408.07422","title":"LLMI3D: MLLM-based 3D Perception from a Single 2D Image","created":"2024-08-14","cited_by_count":7,"area":null},{"id":"2410.21566","title":"MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps","created":"2024-10-28","cited_by_count":7,"area":null},{"id":"2506.17450","title":"BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing","created":"2025-06-20","cited_by_count":7,"area":null},{"id":"2604.05212","title":"Boxer: Robust Lifting of Open-World 2D Bounding Boxes to 3D","created":"2026-04-06","cited_by_count":7,"area":null},{"id":"2107.12719","title":"The CORSMAL benchmark for the prediction of the properties of containers","created":"2021-07-27","cited_by_count":6,"area":null},{"id":"2203.00283","title":"ProgressLabeller: Visual Data Stream Annotation for Training Object-Centric 3D Perception","created":"2022-03-01","cited_by_count":6,"area":null},{"id":"2211.13398","title":"CPPF++: Uncertainty-Aware Sim2Real Object Pose Estimation by Vote Aggregation","created":"2022-11-24","cited_by_count":6,"area":null},{"id":"2306.09077","title":"Estimating Generic 3D Room Structures from 2D Annotations","created":"2023-06-15","cited_by_count":6,"area":null},{"id":"2402.18573","title":"Towards Unified 3D Object Detection via Algorithm and Data Unification","created":"2024-02-28","cited_by_count":6,"area":null},{"id":"2601.01676","title":"LabelAny3D: Label Any Object 3D in the Wild","created":"2026-01-04","cited_by_count":6,"area":null},{"id":"2512.05060","title":"4DLangVGGT: 4D Language-Visual Geometry Grounded Transformer","created":"2025-12-04","cited_by_count":5,"area":null},{"id":"2206.12356","title":"HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D Reconstruction","created":"2022-06-24","cited_by_count":4,"area":null},{"id":"2210.02493","title":"Depth Is All You Need for Monocular 3D Detection","created":"2022-10-05","cited_by_count":4,"area":null},{"id":"2504.11014","title":"GATE3D: Generalized Attention-based Task-synergized Estimation in 3D*","created":"2025-04-15","cited_by_count":4,"area":null},{"id":"2506.08002","title":"Aligning Text, Images, and 3D Structure Token-by-Token","created":"2025-06-09","cited_by_count":4,"area":null},{"id":"2201.09354","title":"Survey and Systematization of 3D Object Detection Models and Methods","created":"2022-01-23","cited_by_count":3,"area":null},{"id":"2205.02361","title":"Creating a Forensic Database of Shoeprints from Online Shoe Tread Photos","created":"2022-05-04","cited_by_count":3,"area":null},{"id":"2211.10470","title":"A mixed-reality dataset for category-level 6D pose and size estimation of hand-occluded containers","created":"2022-11-18","cited_by_count":3,"area":null},{"id":"2212.00435","title":"ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation","created":"2022-12-01","cited_by_count":3,"area":null},{"id":"2212.06833","title":"3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding","created":"2022-12-13","cited_by_count":3,"area":null},{"id":"2401.04377","title":"Towards Real-World Aerial Vision Guidance with Categorical 6D Pose Tracker","created":"2024-01-09","cited_by_count":3,"area":null},{"id":"2407.18914","title":"Floating No More: Object-Ground Reconstruction from a Single Image","created":"2024-07-26","cited_by_count":3,"area":null},{"id":"2408.09042","title":"ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation","created":"2024-08-16","cited_by_count":3,"area":null},{"id":"2502.15448","title":"MVIP -- A Dataset and Methods for Application Oriented Multi-View and Multi-Modal Industrial Part Recognition","created":"2025-02-21","cited_by_count":3,"area":null},{"id":"2511.22404","title":"UAV-MM3D: A Large-Scale Synthetic Benchmark for 3D Perception of Unmanned Aerial Vehicles with Multi-Modal Data","created":"2025-11-27","cited_by_count":3,"area":null},{"id":"2603.18496","title":"NymeriaPlus: Enriching Nymeria Dataset with Additional Annotations and Data","created":"2026-03-19","cited_by_count":3,"area":null},{"id":"2202.10346","title":"On the Evaluation of RGB-D-based Categorical Pose and Shape Estimation","created":"2022-02-21","cited_by_count":2,"area":null},{"id":"2207.03720","title":"Bounding Box Disparity: 3D Metrics for Object Detection With Full Degree of Freedom","created":"2022-07-08","cited_by_count":2,"area":null}],"next_cursor":"100"}