{"total":190,"rows":[{"id":"2406.10454","title":"HumanPlus: Humanoid Shadowing and Imitation from Humans","created":"2024-06-15","cited_by_count":185,"area":null},{"id":"2409.06662","title":"World-Grounded Human Motion Recovery via Gravity-View Coordinates","created":"2024-09-10","cited_by_count":137,"area":null},{"id":"2409.12259","title":"WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild","created":"2024-09-18","cited_by_count":124,"area":null},{"id":"2403.17346","title":"TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos","created":"2024-03-26","cited_by_count":106,"area":null},{"id":"2505.02833","title":"TWIST: Teleoperated Whole-Body Imitation System","created":"2025-05-05","cited_by_count":101,"area":null},{"id":"2504.06397","title":"PromptHMR: Promptable Human Mesh Recovery","created":"2025-04-08","cited_by_count":76,"area":null},{"id":"2408.01654","title":"Deep Patch Visual SLAM","created":"2024-08-03","cited_by_count":71,"area":null},{"id":"2602.15989","title":"SAM 3D Body: Robust Full-Body Human Mesh Recovery","created":"2026-02-17","cited_by_count":69,"area":null},{"id":"2505.03729","title":"Visual Imitation Enables Contextual Humanoid Control","created":"2025-05-06","cited_by_count":68,"area":null},{"id":"2501.02973","title":"HaWoR: World-Space Hand Motion Reconstruction from Egocentric Videos","created":"2025-01-06","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":"2407.07532","title":"Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation","created":"2024-07-10","cited_by_count":59,"area":null},{"id":"2412.12861","title":"Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera","created":"2024-12-17","cited_by_count":51,"area":null},{"id":"2505.01425","title":"GENMO: A GENeralist Model for Human MOtion","created":"2025-05-02","cited_by_count":49,"area":null},{"id":"2510.06219","title":"Human3R: Everyone Everywhere All at Once","created":"2025-10-07","cited_by_count":37,"area":null},{"id":"2410.20294","title":"Harmony4D: A Video Dataset for In-The-Wild Close Human Interactions","created":"2024-10-27","cited_by_count":31,"area":null},{"id":"2412.17806","title":"Reconstructing People, Places, and Cameras","created":"2024-12-23","cited_by_count":31,"area":null},{"id":"2403.12959","title":"WHAC: World-grounded Humans and Cameras","created":"2024-03-19","cited_by_count":30,"area":null},{"id":"2501.02158","title":"Joint Optimization for 4D Human-Scene Reconstruction in the Wild","created":"2025-01-04","cited_by_count":29,"area":null},{"id":"2404.04430","title":"PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos","created":"2024-04-05","cited_by_count":28,"area":null},{"id":"2505.07294","title":"HuB: Learning Extreme Humanoid Balance","created":"2025-05-12","cited_by_count":28,"area":null},{"id":"2412.18600","title":"ZeroHSI: Zero-Shot 4D Human-Scene Interaction by Video Generation","created":"2024-12-24","cited_by_count":25,"area":null},{"id":"2511.14394","title":"BEDLAM2.0: Synthetic Humans and Cameras in Motion","created":"2025-11-18","cited_by_count":25,"area":null},{"id":"2410.11520","title":"Look Ma, no markers: holistic performance capture without the hassle","created":"2024-10-15","cited_by_count":23,"area":null},{"id":"2410.03311","title":"Scaling Large Motion Models with Million-Level Human Motions","created":"2024-10-04","cited_by_count":22,"area":null},{"id":"2501.08329","title":"Predicting 4D Hand Trajectory from Monocular Videos","created":"2025-01-14","cited_by_count":21,"area":null},{"id":"2412.00837","title":"AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer","created":"2024-12-01","cited_by_count":20,"area":null},{"id":"2410.13790","title":"MotionBank: A Large-scale Video Motion Benchmark with Disentangled Rule-based Annotations","created":"2024-10-17","cited_by_count":14,"area":null},{"id":"2507.21045","title":"Reconstructing 4D Spatial Intelligence: A Survey","created":"2025-07-28","cited_by_count":14,"area":null},{"id":"2510.11649","title":"PhySIC: Physically Plausible 3D Human-Scene Interaction and Contact from a Single Image","created":"2025-10-13","cited_by_count":14,"area":null},{"id":"2504.12186","title":"CoMotion: Concurrent Multi-person 3D Motion","created":"2025-04-16","cited_by_count":13,"area":null},{"id":"2508.08588","title":"RealisMotion: Decomposed Human Motion Control and Video Generation in the World Space","created":"2025-08-12","cited_by_count":12,"area":null},{"id":"2405.04533","title":"ChatHuman: Chatting about 3D Humans with Tools","created":"2024-05-07","cited_by_count":11,"area":null},{"id":"2411.18808","title":"Lifting Motion to the 3D World via 2D Diffusion","created":"2024-11-27","cited_by_count":11,"area":null},{"id":"2508.07863","title":"Being-M0.5: A Real-Time Controllable Vision-Language-Motion Model","created":"2025-08-11","cited_by_count":10,"area":null},{"id":"2511.03589","title":"Human Mesh Modeling for Anny Body","created":"2025-11-05","cited_by_count":10,"area":null},{"id":"2512.10881","title":"MoCapAnything: Unified 3D Motion Capture for Arbitrary Skeletons from Monocular Videos","created":"2025-12-11","cited_by_count":10,"area":null},{"id":"2408.12601","title":"DreamCinema: Cinematic Transfer with Free Camera and 3D Character","created":"2024-08-22","cited_by_count":9,"area":null},{"id":"2409.00343","title":"EgoHDM: An Online Egocentric-Inertial Human Motion Capture, Localization, and Dense Mapping System","created":"2024-08-31","cited_by_count":9,"area":null},{"id":"2412.00932","title":"FIction: 4D Future Interaction Prediction from Video","created":"2024-12-01","cited_by_count":9,"area":null},{"id":"2412.13111","title":"Motion-2-To-3: Leveraging 2D Motion Data for 3D Motion Generations","created":"2024-12-17","cited_by_count":9,"area":null},{"id":"2601.01222","title":"UniSH: Unifying Scene and Human Reconstruction in a Feed-Forward Pass","created":"2026-01-03","cited_by_count":9,"area":null},{"id":"2504.13167","title":"ODHSR: Online Dense 3D Reconstruction of Humans and Scenes from Monocular Videos","created":"2025-04-17","cited_by_count":8,"area":null},{"id":"2508.04681","title":"Perceiving and Acting in First-Person: A Dataset and Benchmark for Egocentric Human-Object-Human Interactions","created":"2025-08-06","cited_by_count":8,"area":null},{"id":"2602.22209","title":"WHOLE: World-Grounded Hand-Object Lifted from Egocentric Videos","created":"2026-02-25","cited_by_count":8,"area":null},{"id":"2412.03077","title":"RoDyGS: Robust Dynamic Gaussian Splatting for Casual Videos","created":"2024-12-04","cited_by_count":7,"area":null},{"id":"2503.22397","title":"GAITGen: Disentangled Motion-Pathology Impaired Gait Generative Model -- Bringing Motion Generation to the Clinical Domain","created":"2025-03-28","cited_by_count":7,"area":null},{"id":"2504.09862","title":"RadarLLM: Empowering Large Language Models to Understand Human Motion from Millimeter-Wave Point Cloud Sequence","created":"2025-04-14","cited_by_count":7,"area":null},{"id":"2508.00298","title":"AniMer+: Unified Pose and Shape Estimation Across Mammalia and Aves via Family-Aware Transformer","created":"2025-08-01","cited_by_count":7,"area":null},{"id":"2510.02566","title":"PhysHMR: Learning Humanoid Control Policies from Vision for Physically Plausible Human Motion Reconstruction","created":"2025-10-02","cited_by_count":7,"area":null},{"id":"2603.03265","title":"DuoMo: Dual Motion Diffusion for World-Space Human Reconstruction","created":"2026-03-03","cited_by_count":7,"area":null},{"id":"2503.07597","title":"HumanMM: Global Human Motion Recovery from Multi-shot Videos","created":"2025-03-10","cited_by_count":6,"area":null},{"id":"2510.04312","title":"CARE-PD: A Multi-Site Anonymized Clinical Dataset for Parkinson's Disease Gait Assessment","created":"2025-10-05","cited_by_count":6,"area":null},{"id":"2603.16858","title":"SOMA: Unifying Parametric Human Body Models","created":"2026-03-17","cited_by_count":6,"area":null},{"id":"2412.13058","title":"CondiMen: Conditional Multi-Person Mesh Recovery","created":"2024-12-17","cited_by_count":5,"area":null},{"id":"2412.17377","title":"A Plug-and-Play Physical Motion Restoration Approach for In-the-Wild High-Difficulty Motions","created":"2024-12-23","cited_by_count":5,"area":null},{"id":"2407.00574","title":"Humans as Checkerboards: Calibrating Camera Motion Scale for World-Coordinate Human Mesh Recovery","created":"2024-06-30","cited_by_count":4,"area":null},{"id":"2407.16341","title":"Motion Capture from Inertial and Vision Sensors","created":"2024-07-23","cited_by_count":4,"area":null},{"id":"2410.07500","title":"Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels","created":"2024-10-10","cited_by_count":4,"area":null},{"id":"2506.09919","title":"MetricHMSR:Metric Human Mesh and Scene Recovery from Monocular Images","created":"2025-06-11","cited_by_count":4,"area":null},{"id":"2510.10868","title":"FastHMR: Accelerating Human Mesh Recovery via Token and Layer Merging with Diffusion Decoding","created":"2025-10-13","cited_by_count":4,"area":null},{"id":"2510.24117","title":"DogMo: A Large-Scale Multi-View RGB-D Dataset for 4D Canine Motion Recovery","created":"2025-10-28","cited_by_count":4,"area":null},{"id":"2511.13993","title":"Learning Skill-Attributes for Transferable Assessment in Video","created":"2025-11-17","cited_by_count":4,"area":null},{"id":"2603.06181","title":"Towards Motion Turing Test: Evaluating Human-Likeness in Humanoid Robots","created":"2026-03-06","cited_by_count":4,"area":null},{"id":"2603.15603","title":"Fast SAM 3D Body: Accelerating SAM 3D Body for Real-Time Full-Body Human Mesh Recovery","created":"2026-03-16","cited_by_count":4,"area":null},{"id":"2603.17355","title":"OnlineHMR: Video-based Online World-Grounded Human Mesh Recovery","created":"2026-03-18","cited_by_count":4,"area":null},{"id":"2411.04469","title":"FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments","created":"2024-11-07","cited_by_count":3,"area":null},{"id":"2412.05277","title":"Text to Blind Motion","created":"2024-12-06","cited_by_count":3,"area":null},{"id":"2412.05460","title":"CigTime: Corrective Instruction Generation Through Inverse Motion Editing","created":"2024-12-06","cited_by_count":3,"area":null},{"id":"2503.00068","title":"PI-HMR: Towards Robust In-bed Temporal Human Shape Reconstruction with Contact Pressure Sensing","created":"2025-02-27","cited_by_count":3,"area":null},{"id":"2503.21268","title":"ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate","created":"2025-03-27","cited_by_count":3,"area":null},{"id":"2508.12644","title":"DyCrowd: Towards Dynamic Crowd Reconstruction from a Large-scene Video","created":"2025-08-18","cited_by_count":3,"area":null},{"id":"2508.17239","title":"PersPose: 3D Human Pose Estimation with Perspective Encoding and Perspective Rotation","created":"2025-08-24","cited_by_count":3,"area":null},{"id":"2510.21654","title":"Group Inertial Poser: Multi-Person Pose and Global Translation from Sparse Inertial Sensors and Ultra-Wideband Ranging","created":"2025-10-24","cited_by_count":3,"area":null},{"id":"2512.00960","title":"Efficient and Scalable Monocular Human-Object Interaction Motion Reconstruction","created":"2025-11-30","cited_by_count":3,"area":null},{"id":"2605.13994","title":"CineMesh4D: Personalized 4D Whole Heart Reconstruction from Sparse Cine MRI","created":"2026-05-13","cited_by_count":3,"area":null},{"id":"2607.28625","title":"ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine","created":"2026-07-30","cited_by_count":3,"area":null},{"id":"2312.16221","title":"STRIDE: Single-video based Temporally Continuous Occlusion-Robust 3D Pose Estimation","created":"2023-12-24","cited_by_count":2,"area":null},{"id":"2407.06114","title":"Towards Unstructured Unlabeled Optical Mocap: A Video Helps!","created":"2024-05-15","cited_by_count":2,"area":null},{"id":"2411.06232","title":"RCR: Robust Crowd Reconstruction with Upright Space from a Single Large-scene Image","created":"2024-11-09","cited_by_count":2,"area":null},{"id":"2503.13579","title":"ASMR: Adaptive Skeleton-Mesh Rigging and Skinning via 2D Generative Prior","created":"2025-03-17","cited_by_count":2,"area":null},{"id":"2507.12463","title":"MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding","created":"2025-07-16","cited_by_count":2,"area":null},{"id":"2508.06139","title":"DiffCap: Diffusion-based Real-time Human Motion Capture using Sparse IMUs and a Monocular Camera","created":"2025-08-08","cited_by_count":2,"area":null},{"id":"2508.12176","title":"Scalable RF Simulation in Generative 4D Worlds","created":"2025-08-16","cited_by_count":2,"area":null},{"id":"2508.21257","title":"PHD: Personalized 3D Human Body Fitting with Point Diffusion","created":"2025-08-28","cited_by_count":2,"area":null},{"id":"2511.20157","title":"SKEL-CF: Coarse-to-Fine Biomechanical Skeleton and Surface Mesh Recovery","created":"2025-11-25","cited_by_count":2,"area":null},{"id":"2512.03918","title":"UniMo: Unifying 2D Video and 3D Human Motion with an Autoregressive Framework","created":"2025-12-03","cited_by_count":2,"area":null},{"id":"2601.08876","title":"The Semantic Lifecycle in Embodied AI: Acquisition, Representation and Storage via Foundation Models","created":"2026-01-12","cited_by_count":2,"area":null},{"id":"2602.23739","title":"U-Mind: A Unified Framework for Real-Time Multimodal Interaction with Audiovisual Generation","created":"2026-02-27","cited_by_count":2,"area":null},{"id":"2603.18623","title":"OpenT2M: No-frill Motion Generation with Open-source,Large-scale, High-quality Data","created":"2026-03-19","cited_by_count":2,"area":null},{"id":"2604.17818","title":"AnyLift: Scaling Motion Reconstruction from Internet Videos via 2D Diffusion","created":"2026-04-20","cited_by_count":2,"area":null},{"id":"2605.26241","title":"RoMo: A Large-Scale, Richly Organized Dataset and Semantic Taxonomy for Human Motion Generation","created":"2026-05-25","cited_by_count":2,"area":null},{"id":"2606.27720","title":"Scene and Human in One World: Reconstruction in a Feedforward Pass","created":"2026-06-26","cited_by_count":2,"area":null},{"id":"2609.04958","title":"MINT: A Unified Model for World-Space Camera and Hand Motion Estimation from Scalable Egocentric Pipeline Supervision","created":"2026-09-04","cited_by_count":2,"area":null},{"id":"2409.17356","title":"A vision-based framework for human behavior understanding in industrial assembly lines","created":"2024-09-25","cited_by_count":1,"area":null},{"id":"2411.10582","title":"Motion Diffusion-Guided 3D Global HMR from a Dynamic Camera","created":"2024-11-15","cited_by_count":1,"area":null},{"id":"2502.10724","title":"Semantics-aware Test-time Adaptation for 3D Human Pose Estimation","created":"2025-02-15","cited_by_count":1,"area":null},{"id":"2503.13025","title":"PoseSyn: Synthesizing Diverse 3D Pose Data from In-the-Wild 2D Data","created":"2025-03-17","cited_by_count":1,"area":null},{"id":"2505.23301","title":"Quality assessment of 3D human animation: Subjective and objective evaluation","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2506.17505","title":"Learning golf swing signatures from a single wrist-worn inertial sensor","created":"2025-06-20","cited_by_count":1,"area":null}],"next_cursor":"100"}