{"total":36,"rows":[{"id":"2505.01425","title":"GENMO: A GENeralist Model for Human MOtion","created":"2025-05-02","cited_by_count":49,"area":null},{"id":"2409.13426","title":"HMD^2: Environment-aware Motion Generation from Single Egocentric Head-Mounted Device","created":"2024-09-20","cited_by_count":27,"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":"2503.17544","title":"PRIMAL: Physically Reactive and Interactive Motor Model for Avatar Learning","created":"2025-03-21","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":"2503.16289","title":"SceneMI: Motion In-betweening for Modeling Human-Scene Interactions","created":"2025-03-20","cited_by_count":11,"area":null},{"id":"2507.05419","title":"Motion Generation: A Survey of Generative Approaches and Benchmarks","created":"2025-07-07","cited_by_count":8,"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":"2505.03154","title":"StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data","created":"2025-05-06","cited_by_count":6,"area":null},{"id":"2509.09667","title":"Geometric Neural Distance Fields for Learning Human Motion Priors","created":"2025-09-11","cited_by_count":6,"area":null},{"id":"2403.06164","title":"Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation","created":"2024-03-10","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":"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":"2603.18496","title":"NymeriaPlus: Enriching Nymeria Dataset with Additional Annotations and Data","created":"2026-03-19","cited_by_count":3,"area":null},{"id":"2412.10431","title":"CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty","created":"2024-12-11","cited_by_count":2,"area":null},{"id":"2503.22249","title":"FLAM: Foundation Model-Based Body Stabilization for Humanoid Locomotion and Manipulation","created":"2025-03-28","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":"2502.15956","title":"Human Motion Prediction, Reconstruction, and Generation","created":"2025-02-21","cited_by_count":1,"area":null},{"id":"2601.03959","title":"FUSION: Full-Body Unified Motion Prior for Body and Hands via Diffusion","created":"2026-01-07","cited_by_count":1,"area":null},{"id":"2601.16079","title":"Masked Modeling for Human Motion Recovery Under Occlusions","created":"2026-01-22","cited_by_count":1,"area":null},{"id":"2602.04851","title":"PDF-HR: Pose Distance Fields for Humanoid Robots","created":"2026-02-04","cited_by_count":1,"area":null},{"id":"2606.18243","title":"MOCHI: Motion Enhancement of Collaborative Human-object Interactions","created":"2026-06-16","cited_by_count":1,"area":null},{"id":"2607.15868","title":"EgoExoMoCap: Distributed Ego-Exo Human Motion Capture","created":"2026-07-17","cited_by_count":1,"area":null},{"id":"2608.13555","title":"HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmark","created":"2026-08-13","cited_by_count":1,"area":null},{"id":"2510.22712","title":"Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles","created":"2025-10-26","cited_by_count":0,"area":null},{"id":"2512.12703","title":"Robust Motion Generation using Part-level Reliable Data from Videos","created":"2025-12-14","cited_by_count":0,"area":null},{"id":"2601.02096","title":"Dancing Points: Synthesizing Ballroom Dancing with Three-Point Inputs","created":"2026-01-05","cited_by_count":0,"area":null},{"id":"2605.13041","title":"EgoForce: Robust Online Egocentric Motion Reconstruction via Diffusion Forcing","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2605.14854","title":"FactorizedHMR: A Hybrid Framework for Video Human Mesh Recovery","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.14935","title":"Multi-scale Coarse-to-fine Modeling for Test-time Human Motion Control","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.26879","title":"Natural Human Motion Recovery by Aligning High-Order Temporal Dynamics from Monocular Videos","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2606.13364","title":"VideoMDM: Towards 3D Human Motion Generation From 2D Supervision","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2606.29686","title":"PoseShield: Neural Collision Fields for Human Self-Collision Resolution","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2608.29927","title":"Everybody Tracking Every Body","created":"2026-08-30","cited_by_count":0,"area":null},{"id":"2609.37708","title":"Generative Interactions: Weaving Multiparty Human Motion with Bilevel Latent Dynamics","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}