{"total":30,"rows":[{"id":"2112.13715","title":"SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos","created":"2021-12-27","cited_by_count":64,"area":null},{"id":"2203.05789","title":"FLAG: Flow-based 3D Avatar Generation from Sparse Observations","created":"2022-03-11","cited_by_count":55,"area":null},{"id":"2312.04547","title":"Digital Life Project: Autonomous 3D Characters with Social Intelligence","created":"2023-12-07","cited_by_count":43,"area":null},{"id":"2506.09982","title":"AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation","created":"2025-06-11","cited_by_count":32,"area":null},{"id":"2403.03561","title":"HMD-Poser: On-Device Real-time Human Motion Tracking from Scalable Sparse Observations","created":"2024-03-06","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":"2311.02191","title":"SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data","created":"2023-11-03","cited_by_count":21,"area":null},{"id":"2308.11261","title":"HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations","created":"2023-08-22","cited_by_count":18,"area":null},{"id":"2404.19541","title":"Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband Ranging","created":"2024-04-30","cited_by_count":18,"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":"2504.05265","title":"From Sparse Signal to Smooth Motion: Real-Time Motion Generation with Rolling Prediction Models","created":"2025-04-07","cited_by_count":11,"area":null},{"id":"2512.12378","title":"M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction","created":"2025-12-13","cited_by_count":7,"area":null},{"id":"2410.02788","title":"RoMo: A Robust Solver for Full-body Unlabeled Optical Motion Capture","created":"2024-09-18","cited_by_count":6,"area":null},{"id":"2309.00428","title":"A Locality-based Neural Solver for Optical Motion Capture","created":"2023-09-01","cited_by_count":5,"area":null},{"id":"2406.14567","title":"DragPoser: Motion Reconstruction from Variable Sparse Tracking Signals via Latent Space Optimization","created":"2024-04-29","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":"2407.06114","title":"Towards Unstructured Unlabeled Optical Mocap: A Video Helps!","created":"2024-05-15","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":"2511.15179","title":"MMCM: Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction","created":"2025-11-19","cited_by_count":1,"area":null},{"id":"2303.04244","title":"A Light-Weight Contrastive Approach for Aligning Human Pose Sequences","created":"2023-03-07","cited_by_count":0,"area":null},{"id":"2309.14330","title":"Noise-in, Bias-out: Balanced and Real-time MoCap Solving","created":"2023-09-25","cited_by_count":0,"area":null},{"id":"2505.18465","title":"BiomechGPT: Extending Motion-Language Models to Clinical Motion Understanding","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2508.12270","title":"L-SR1: Learned Symmetric-Rank-One Preconditioning","created":"2025-08-17","cited_by_count":0,"area":null},{"id":"2511.16418","title":"End-to-End Motion Capture from Rigid Body Markers with Geodesic Loss","created":"2025-11-20","cited_by_count":0,"area":null},{"id":"2601.01360","title":"Garment Inertial Denoiser (GID): Endowing Accurate Motion Capture via Loose IMU Denoiser","created":"2026-01-04","cited_by_count":0,"area":null},{"id":"2601.05844","title":"DexterCap: An Affordable and Automated System for Capturing Dexterous Hand-Object Manipulation","created":"2026-01-09","cited_by_count":0,"area":null},{"id":"2604.01322","title":"Human Pose Estimation in Trampoline Gymnastics: How to Improve Performance on Extreme Poses","created":"2026-04-01","cited_by_count":0,"area":null},{"id":"2605.20889","title":"Map-Mono-Ego: Map-Grounded Global Human Pose Estimation from Monocular Egocentric Video","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2609.19927","title":"DirtyMoCap: Robust Motion Capture from Unconstrained Markers","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2610.18871","title":"Cepheid: Decoupling Scale from Structure for Cross-Family Motion Completion","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}