{"total":36,"rows":[{"id":"2204.06950","title":"BEHAVE: Dataset and Method for Tracking Human Object Interactions","created":"2022-04-14","cited_by_count":249,"area":null},{"id":"2206.09553","title":"Capturing and Inferring Dense Full-Body Human-Scene Contact","created":"2022-06-20","cited_by_count":180,"area":null},{"id":"2309.17448","title":"SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation","created":"2023-09-29","cited_by_count":155,"area":null},{"id":"2105.05301","title":"Collaborative Regression of Expressive Bodies using Moderation","created":"2021-05-11","cited_by_count":137,"area":null},{"id":"2203.01923","title":"Recovering 3D Human Mesh from Monocular Images: A Survey","created":"2022-03-03","cited_by_count":103,"area":null},{"id":"2306.09329","title":"DreamHuman: Animatable 3D Avatars from Text","created":"2023-06-15","cited_by_count":102,"area":null},{"id":"2204.02445","title":"CHORE: Contact, Human and Object REconstruction from a single RGB image","created":"2022-04-05","cited_by_count":95,"area":null},{"id":"2104.03176","title":"On Self-Contact and Human Pose","created":"2021-04-07","cited_by_count":89,"area":null},{"id":"2507.07095","title":"Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data","created":"2025-07-09","cited_by_count":68,"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":"2309.15273","title":"DECO: Dense Estimation of 3D Human-Scene Contact In The Wild","created":"2023-09-26","cited_by_count":54,"area":null},{"id":"2212.14474","title":"Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats","created":"2022-12-29","cited_by_count":50,"area":null},{"id":"2501.09782","title":"SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation","created":"2025-01-16","cited_by_count":32,"area":null},{"id":"2112.12867","title":"HSPACE: Synthetic Parametric Humans Animated in Complex Environments","created":"2021-12-23","cited_by_count":29,"area":null},{"id":"2404.04819","title":"Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer","created":"2024-04-07","cited_by_count":29,"area":null},{"id":"2211.15692","title":"H3WB: Human3.6M 3D WholeBody Dataset and Benchmark","created":"2022-11-28","cited_by_count":23,"area":null},{"id":"2105.09936","title":"BodyPressure -- Inferring Body Pose and Contact Pressure from a Depth Image","created":"2021-05-20","cited_by_count":20,"area":null},{"id":"2309.16670","title":"Decaf: Monocular Deformation Capture for Face and Hand Interactions","created":"2023-09-28","cited_by_count":18,"area":null},{"id":"2403.17610","title":"MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors","created":"2024-03-26","cited_by_count":17,"area":null},{"id":"2308.01854","title":"Reconstructing Three-Dimensional Models of Interacting Humans","created":"2023-08-03","cited_by_count":14,"area":null},{"id":"2602.12370","title":"LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens","created":"2026-02-12","cited_by_count":11,"area":null},{"id":"2305.20089","title":"Learning Explicit Contact for Implicit Reconstruction of Hand-held Objects from Monocular Images","created":"2023-05-31","cited_by_count":10,"area":null},{"id":"2503.06012","title":"End-to-End HOI Reconstruction Transformer with Graph-based Encoding","created":"2025-03-08","cited_by_count":8,"area":null},{"id":"2401.16173","title":"Reconstructing Close Human Interactions from Multiple Views","created":"2024-01-29","cited_by_count":7,"area":null},{"id":"2110.07727","title":"Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations","created":"2021-10-08","cited_by_count":5,"area":null},{"id":"2404.03183","title":"BodyMAP -- Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed","created":"2024-04-04","cited_by_count":5,"area":null},{"id":"2505.06575","title":"GRACE: Estimating Geometry-level 3D Human-Scene Contact from 2D Images","created":"2025-05-10","cited_by_count":3,"area":null},{"id":"2509.23393","title":"Generative Modeling of Shape-Dependent Self-Contact Human Poses","created":"2025-09-27","cited_by_count":2,"area":null},{"id":"2604.21926","title":"Seeing Without Eyes: 4D Human-Scene Understanding from Wearable IMUs","created":"2026-04-23","cited_by_count":2,"area":null},{"id":"2407.10220","title":"PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation","created":"2024-07-14","cited_by_count":1,"area":null},{"id":"2608.24334","title":"SeMoCo: A Semantic-First Motion Codec for Motion Language Modeling","created":"2026-08-25","cited_by_count":1,"area":null},{"id":"2408.08086","title":"Single-image coherent reconstruction of objects and humans","created":"2024-08-15","cited_by_count":0,"area":null},{"id":"2501.12318","title":"BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation","created":"2025-01-21","cited_by_count":0,"area":null},{"id":"2512.04862","title":"Contact-Aware Refinement of Human Pose Pseudo-Ground Truth via Bioimpedance Sensing","created":"2025-12-04","cited_by_count":0,"area":null},{"id":"2604.12923","title":"Pi-HOC: Pairwise 3D Human-Object Contact Estimation","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2608.27407","title":"Reconstructing Humans and Objects in Interaction using Large Reconstruction Models","created":"2026-08-27","cited_by_count":0,"area":null}],"next_cursor":null}