{"total":46,"rows":[{"id":"2306.14795","title":"MotionGPT: Human Motion as a Foreign Language","created":"2023-06-26","cited_by_count":527,"area":null},{"id":"2204.14109","title":"TEMOS: Generating diverse human motions from textual descriptions","created":"2022-04-25","cited_by_count":492,"area":null},{"id":"2203.08063","title":"MotionCLIP: Exposing Human Motion Generation to CLIP Space","created":"2022-03-15","cited_by_count":408,"area":null},{"id":"2312.00063","title":"MoMask: Generative Masked Modeling of 3D Human Motions","created":"2023-11-29","cited_by_count":400,"area":null},{"id":"2207.01696","title":"TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts","created":"2022-07-04","cited_by_count":359,"area":null},{"id":"2307.00818","title":"Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset","created":"2023-07-03","cited_by_count":227,"area":null},{"id":"2103.14675","title":"Synthesis of Compositional Animations from Textual Descriptions","created":"2021-03-26","cited_by_count":178,"area":null},{"id":"2312.16051","title":"Inter-X: Towards Versatile Human-Human Interaction Analysis","created":"2023-12-26","cited_by_count":98,"area":null},{"id":"2405.20340","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","created":"2024-05-30","cited_by_count":90,"area":null},{"id":"2304.02419","title":"TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration","created":"2023-04-05","cited_by_count":76,"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":"2311.16468","title":"AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond","created":"2023-11-28","cited_by_count":63,"area":null},{"id":"2403.18512","title":"ParCo: Part-Coordinating Text-to-Motion Synthesis","created":"2024-03-27","cited_by_count":55,"area":null},{"id":"2412.14559","title":"ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model","created":"2024-12-19","cited_by_count":53,"area":null},{"id":"2301.13868","title":"PADL: Language-Directed Physics-Based Character Control","created":"2023-01-31","cited_by_count":48,"area":null},{"id":"2206.04382","title":"CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes","created":"2022-06-09","cited_by_count":41,"area":null},{"id":"2409.17686","title":"MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling","created":"2024-09-26","cited_by_count":41,"area":null},{"id":"2405.16273","title":"M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation","created":"2024-05-25","cited_by_count":38,"area":null},{"id":"2404.01700","title":"MotionChain: Conversational Motion Controllers via Multimodal Prompts","created":"2024-04-02","cited_by_count":30,"area":null},{"id":"2411.16805","title":"Human Motion Instruction Tuning","created":"2024-11-25","cited_by_count":29,"area":null},{"id":"2212.04638","title":"FLAG3D: A 3D Fitness Activity Dataset with Language Instruction","created":"2022-12-09","cited_by_count":23,"area":null},{"id":"2412.11193","title":"Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation","created":"2024-12-15","cited_by_count":23,"area":null},{"id":"2412.07320","title":"CoMA: Compositional Human Motion Generation with Multi-modal Agents","created":"2024-12-10","cited_by_count":19,"area":null},{"id":"2111.06925","title":"Action2video: Generating Videos of Human 3D Actions","created":"2021-11-12","cited_by_count":15,"area":null},{"id":"2210.11795","title":"PoseScript: Linking 3D Human Poses and Natural Language","created":"2022-10-21","cited_by_count":14,"area":null},{"id":"2503.22906","title":"SocialGen: Modeling Multi-Human Social Interaction with Language Models","created":"2025-03-28","cited_by_count":14,"area":null},{"id":"2406.00636","title":"T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences","created":"2024-06-02","cited_by_count":12,"area":null},{"id":"2312.07937","title":"BOTH2Hands: Inferring 3D Hands from Both Text Prompts and Body Dynamics","created":"2023-12-13","cited_by_count":7,"area":null},{"id":"2412.00112","title":"BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis","created":"2024-11-28","cited_by_count":6,"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":"2206.13502","title":"Programmatic Concept Learning for Human Motion Description and Synthesis","created":"2022-06-27","cited_by_count":5,"area":null},{"id":"2310.07324","title":"Guided Attention for Interpretable Motion Captioning","created":"2023-10-11","cited_by_count":5,"area":null},{"id":"2512.24321","title":"UniAct: Unified Motion Generation and Action Streaming for Humanoid Robots","created":"2025-12-30","cited_by_count":5,"area":null},{"id":"2310.10594","title":"Motion2Language, unsupervised learning of synchronized semantic motion segmentation","created":"2023-10-16","cited_by_count":4,"area":null},{"id":"2506.07456","title":"PhysiInter: Integrating Physical Mapping for High-Fidelity Human Interaction Generation","created":"2025-06-09","cited_by_count":4,"area":null},{"id":"2510.14954","title":"OmniMotion: Multimodal Motion Generation with Continuous Masked Autoregression","created":"2025-10-16","cited_by_count":3,"area":null},{"id":"2203.04218","title":"Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data","created":"2022-03-08","cited_by_count":2,"area":null},{"id":"2603.23617","title":"M3T: Discrete Multi-Modal Motion Tokens for Sign Language Production","created":"2026-03-24","cited_by_count":2,"area":null},{"id":"2107.14593","title":"Neural Variational Learning for Grounded Language Acquisition","created":"2021-07-20","cited_by_count":1,"area":null},{"id":"2603.09611","title":"ParTY: Part-Guidance for Expressive Text-to-Motion Synthesis","created":"2026-03-10","cited_by_count":1,"area":null},{"id":"2309.05972","title":"Self-supervised Extraction of Human Motion Structures via Frame-wise Discrete Features","created":"2023-09-12","cited_by_count":0,"area":null},{"id":"2409.09177","title":"Transformer with Controlled Attention for Synchronous Motion Captioning","created":"2024-09-13","cited_by_count":0,"area":null},{"id":"2509.23011","title":"Geometry-Aware Losses for Structure-Preserving Text-to-Sign Language Generation","created":"2025-09-27","cited_by_count":0,"area":null},{"id":"2602.22949","title":"OpenFS: Multi-Hand-Capable Fingerspelling Recognition with Implicit Signing-Hand Detection and Frame-Wise Letter-Conditioned Synthesis","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2608.20312","title":"Inter-X++: A Comprehensive Benchmark for Multimodal Human-Human Interaction Analysis","created":"2026-08-20","cited_by_count":0,"area":null},{"id":"2609.14615","title":"Open-UniMo: Towards Unified Motion-Language Understanding and Generation in the Open World","created":"2026-09-13","cited_by_count":0,"area":null}],"next_cursor":null}