{"total":55,"rows":[{"id":"2411.16575","title":"Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression","created":"2024-11-25","cited_by_count":85,"area":null},{"id":"2408.00712","title":"MotionFix: Text-Driven 3D Human Motion Editing","created":"2024-08-01","cited_by_count":64,"area":null},{"id":"2410.07093","title":"LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning","created":"2024-10-09","cited_by_count":59,"area":null},{"id":"2503.06955","title":"Motion Anything: Any to Motion Generation","created":"2025-03-10","cited_by_count":42,"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":"2503.13836","title":"SALAD: Skeleton-aware Latent Diffusion for Text-driven Motion Generation and Editing","created":"2025-03-18","cited_by_count":39,"area":"diffusion"},{"id":"2505.19377","title":"Absolute Coordinates Make Motion Generation Easy","created":"2025-05-26","cited_by_count":29,"area":null},{"id":"2411.15472","title":"KinMo: Kinematic-aware Human Motion Understanding and Generation","created":"2024-11-23","cited_by_count":21,"area":null},{"id":"2503.13130","title":"ChainHOI: Joint-based Kinematic Chain Modeling for Human-Object Interaction Generation","created":"2025-03-17","cited_by_count":20,"area":null},{"id":"2503.08270","title":"HERO: Human Reaction Generation from Videos","created":"2025-03-11","cited_by_count":15,"area":null},{"id":"2511.19217","title":"ReAlign: Text-to-Motion Generation via Step-Aware Reward-Guided Alignment","created":"2025-11-24","cited_by_count":13,"area":"alignment"},{"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":"2508.02605","title":"ReMoMask: Retrieval-Augmented Masked Motion Generation","created":"2025-08-04","cited_by_count":11,"area":"rag"},{"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":"2602.22594","title":"Causal Motion Diffusion Models for Autoregressive Motion Generation","created":"2026-02-26","cited_by_count":10,"area":"diffusion"},{"id":"2406.01867","title":"MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training","created":"2024-06-04","cited_by_count":9,"area":"diffusion"},{"id":"2411.04079","title":"Textual Decomposition Then Sub-motion-space Scattering for Open-Vocabulary Motion Generation","created":"2024-11-06","cited_by_count":8,"area":null},{"id":"2503.13300","title":"Progressive Human Motion Generation Based on Text and Few Motion Frames","created":"2025-03-17","cited_by_count":8,"area":null},{"id":"2405.03803","title":"MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization","created":"2024-05-06","cited_by_count":6,"area":"diffusion"},{"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":"2505.11013","title":"Towards Robust and Controllable Text-to-Motion via Masked Autoregressive Diffusion","created":"2025-05-16","cited_by_count":6,"area":null},{"id":"2505.09827","title":"Dyadic Mamba: Long-term Dyadic Human Motion Synthesis","created":"2025-05-14","cited_by_count":4,"area":"ssm"},{"id":"2509.04058","title":"SMooGPT: Stylized Motion Generation using Large Language Models","created":"2025-09-04","cited_by_count":4,"area":"diffusion"},{"id":"2602.07967","title":"EasyTune: Efficient Step-Aware Fine-Tuning for Diffusion-Based Motion Generation","created":"2026-02-08","cited_by_count":4,"area":null},{"id":"2604.03799","title":"Next-Scale Autoregressive Models for Text-to-Motion Generation","created":"2026-04-04","cited_by_count":4,"area":null},{"id":"2604.23264","title":"MotionHiFlow: Text-to-motion via hierarchical flow matching","created":"2026-04-25","cited_by_count":4,"area":"diffusion"},{"id":"2510.14954","title":"OmniMotion: Multimodal Motion Generation with Continuous Masked Autoregression","created":"2025-10-16","cited_by_count":3,"area":null},{"id":"2512.19049","title":"Decoupled Generative Modeling for Human-Object Interaction Synthesis","created":"2025-12-22","cited_by_count":3,"area":null},{"id":"2512.24100","title":"Think Before You Move: Latent Motion Reasoning for Text-to-Motion Generation","created":"2025-12-30","cited_by_count":3,"area":null},{"id":"2505.11334","title":"MARRS: Masked Autoregressive Unit-based Reaction Synthesis","created":"2025-05-16","cited_by_count":2,"area":null},{"id":"2603.28766","title":"HandX: Scaling Bimanual Motion and Interaction Generation","created":"2026-03-30","cited_by_count":2,"area":null},{"id":"2603.29655","title":"Not All Frames Are Equal: Complexity-Aware Masked Motion Generation via Motion Spectral Descriptors","created":"2026-03-31","cited_by_count":2,"area":null},{"id":"2608.15141","title":"HOIMask: Towards Generative Masked Modeling for Human Object Interaction Generation","created":"2026-08-15","cited_by_count":2,"area":null},{"id":"2503.06897","title":"Multi-granular body modeling with Redundancy-Free Spatiotemporal Fusion for Text-Driven Motion Generation","created":"2025-03-10","cited_by_count":1,"area":"ssm"},{"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},{"id":"2507.21452","title":"Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training","created":"2025-07-29","cited_by_count":1,"area":"diffusion"},{"id":"2603.09611","title":"ParTY: Part-Guidance for Expressive Text-to-Motion Synthesis","created":"2026-03-10","cited_by_count":1,"area":null},{"id":"2603.15083","title":"ReactMotion: Generating Reactive Listener Motions from Speaker Utterance","created":"2026-03-16","cited_by_count":1,"area":null},{"id":"2604.11083","title":"FlowCoMotion: Text-to-Motion Generation via Token-Latent Flow Modeling","created":"2026-04-13","cited_by_count":1,"area":null},{"id":"2606.05624","title":"KV-Control: Parameter-Efficient K/V Injection for Trajectory-Controlled Text-to-Motion","created":"2026-06-04","cited_by_count":1,"area":null},{"id":"2607.02148","title":"SAMoR: Motion Modelling for Articulated Objects of Any Skeleton and Topology","created":"2026-07-02","cited_by_count":1,"area":null},{"id":"2505.04660","title":"AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection","created":"2025-05-07","cited_by_count":0,"area":"diffusion"},{"id":"2505.04974","title":"ReAlign: Bilingual Text-to-Motion Generation via Step-Aware Reward-Guided Alignment","created":"2025-05-08","cited_by_count":0,"area":"diffusion"},{"id":"2508.14561","title":"Making Pose Representations More Expressive and Disentangled via Residual Vector Quantization","created":"2025-08-20","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":"2605.18956","title":"MotionMERGE: A Multi-granular Framework for Human Motion Editing, Reasoning, Generation, and Explanation","created":"2026-05-18","cited_by_count":0,"area":"lr"},{"id":"2607.01743","title":"InterCMDM: Block-Causal Diffusion for Autoregressive Human Interaction Generation","created":"2026-07-02","cited_by_count":0,"area":"diffusion"},{"id":"2608.28568","title":"SignRR: Retrieve and Refine Real Motion for Sign Language Production","created":"2026-08-28","cited_by_count":0,"area":null},{"id":"2609.08365","title":"ReMoMask-2: Latent Retrieval-Augmented Masked Motion Generation","created":"2026-09-08","cited_by_count":0,"area":"rag"},{"id":"2609.34190","title":"MotionSpaceFlow: Representation-Aware Flow Matching in Direct Motion Space","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2609.35407","title":"BiMoGen: Bidirectional Motion-Text Generation via Unified Masked Discrete Diffusion","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2609.37495","title":"MotionMaestro: Masked Tokenization for Unified Motion Generation","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2610.03012","title":"Rethinking Fixed Temporal Grids: Frequency-Disentangled Motion Generation","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.03252","title":"COSMI: COmpositional Synthesis of Multi-object Interactions","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.03873","title":"Streaming Multi-Track Timeline Control for 3D Human Motion Generation","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}