{"total":48,"rows":[{"id":"2406.01586","title":"ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation","created":"2024-06-03","cited_by_count":57,"area":"diffusion"},{"id":"2501.18898","title":"GestureLSM: Latent Shortcut based Co-Speech Gesture Generation with Spatial-Temporal Modeling","created":"2025-01-31","cited_by_count":44,"area":"diffusion"},{"id":"2410.10780","title":"MaskControl: Spatio-Temporal Control for Masked Motion Synthesis","created":"2024-10-14","cited_by_count":38,"area":"diffusion"},{"id":"2407.12783","title":"SMooDi: Stylized Motion Diffusion Model","created":"2024-07-17","cited_by_count":37,"area":"diffusion"},{"id":"2407.06938","title":"RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models","created":"2024-07-09","cited_by_count":36,"area":"diffusion"},{"id":"2512.23464","title":"HY-Motion 1.0: Scaling Flow Matching Models for Text-To-Motion Generation","created":"2025-12-29","cited_by_count":36,"area":"diffusion"},{"id":"2510.26794","title":"The Quest for Generalizable Motion Generation: Data, Model, and Evaluation","created":"2025-10-30","cited_by_count":22,"area":"diffusion"},{"id":"2411.19527","title":"DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding","created":"2024-11-29","cited_by_count":19,"area":"diffusion"},{"id":"2410.18977","title":"Pay Attention and Move Better: Harnessing Attention for Interactive Motion Generation and Training-free Editing","created":"2024-10-24","cited_by_count":18,"area":"diffusion"},{"id":"2504.01019","title":"MixerMDM: Learnable Composition of Human Motion Diffusion Models","created":"2025-04-01","cited_by_count":13,"area":"diffusion"},{"id":"2501.19083","title":"MotionPCM: Real-Time Motion Synthesis with Phased Consistency Model","created":"2025-01-31","cited_by_count":10,"area":"diffusion"},{"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":"2410.14508","title":"LEAD: Latent Realignment for Human Motion Diffusion","created":"2024-10-18","cited_by_count":9,"area":"diffusion"},{"id":"2506.02452","title":"ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model","created":"2025-06-03","cited_by_count":9,"area":"diffusion"},{"id":"2507.19292","title":"PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups","created":"2025-07-25","cited_by_count":9,"area":"diffusion"},{"id":"2509.07920","title":"ScoreHOI: Physically Plausible Reconstruction of Human-Object Interaction via Score-Guided Diffusion","created":"2025-09-09","cited_by_count":9,"area":"diffusion"},{"id":"2411.16964","title":"MotionWavelet: Human Motion Prediction via Wavelet Manifold Learning","created":"2024-11-25","cited_by_count":8,"area":"diffusion"},{"id":"2503.21775","title":"StyleMotif: Multi-Modal Motion Stylization using Style-Content Cross Fusion","created":"2025-03-27","cited_by_count":7,"area":"diffusion"},{"id":"2509.24099","title":"Unified Multi-Modal Interactive & Reactive 3D Motion Generation via Rectified Flow","created":"2025-09-28","cited_by_count":6,"area":"diffusion"},{"id":"2602.22742","title":"ProjFlow: Projection Sampling with Flow Matching for Zero-Shot Exact Spatial Motion Control","created":"2026-02-26","cited_by_count":5,"area":"diffusion"},{"id":"2504.01338","title":"FlowMotion: Target-Predictive Conditional Flow Matching for Jitter-Reduced Text-Driven Human Motion Generation","created":"2025-04-02","cited_by_count":4,"area":"diffusion"},{"id":"2510.19789","title":"OmniMotion-X: Versatile Multimodal Whole-Body Motion Generation","created":"2025-10-22","cited_by_count":4,"area":"diffusion"},{"id":"2603.19227","title":"Bridging Semantic and Kinematic Conditions with Diffusion-based Discrete Motion Tokenizer","created":"2026-03-19","cited_by_count":4,"area":"diffusion"},{"id":"2604.23264","title":"MotionHiFlow: Text-to-motion via hierarchical flow matching","created":"2026-04-25","cited_by_count":4,"area":"diffusion"},{"id":"2509.00767","title":"InterPose: Learning to Generate Human-Object Interactions from Large-Scale Web Videos","created":"2025-08-31","cited_by_count":3,"area":"diffusion"},{"id":"2509.25304","title":"LUMA: Low-Dimension Unified Motion Alignment with Dual-Path Anchoring for Text-to-Motion Diffusion Model","created":"2025-09-29","cited_by_count":3,"area":"diffusion"},{"id":"2604.04843","title":"InfBaGel: Human-Object-Scene Interaction Generation with Dynamic Perception and Iterative Refinement","created":"2026-04-06","cited_by_count":3,"area":"diffusion"},{"id":"2603.13228","title":"PhysMoDPO: Physically-Plausible Humanoid Motion with Preference Optimization","created":"2026-03-13","cited_by_count":2,"area":"diffusion"},{"id":"2603.15016","title":"Riemannian Motion Generation: A Unified Framework for Human Motion Representation and Generation via Riemannian Flow Matching","created":"2026-03-16","cited_by_count":2,"area":"diffusion"},{"id":"2503.02048","title":"FRMD: Fast Robot Motion Diffusion with Consistency-Distilled Movement Primitives for Smooth Action Generation","created":"2025-03-03","cited_by_count":1,"area":"diffusion"},{"id":"2508.19527","title":"MotionFlux: Efficient Text-Guided Motion Generation through Rectified Flow Matching and Preference Alignment","created":"2025-08-27","cited_by_count":1,"area":"diffusion"},{"id":"2510.16709","title":"HumanCM: One Step Human Motion Prediction","created":"2025-10-19","cited_by_count":1,"area":"diffusion"},{"id":"2607.06843","title":"Retrieving and Refining Winning Noise Tickets for Diffusion-Based Motion Generation","created":"2026-07-07","cited_by_count":1,"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":"2511.00011","title":"Generative human motion mimicking through feature extraction in denoising diffusion settings","created":"2025-10-16","cited_by_count":0,"area":"diffusion"},{"id":"2601.14788","title":"Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation","created":"2026-01-21","cited_by_count":0,"area":"diffusion"},{"id":"2603.24806","title":"FODMP: Fast One-Step Diffusion of Movement Primitives Generation for Time-Dependent Robot Actions","created":"2026-03-25","cited_by_count":0,"area":"diffusion"},{"id":"2603.27040","title":"Unified Number-Free Text-to-Motion Generation Via Flow Matching","created":"2026-03-27","cited_by_count":0,"area":"diffusion"},{"id":"2605.13333","title":"Stylized Text-to-Motion Generation via Hypernetwork-Driven Low-Rank Adaptation","created":"2026-05-13","cited_by_count":0,"area":"diffusion"},{"id":"2605.20209","title":"NaP-Control: Navigating Diffusion Prior for Versatile and Fast Character Control","created":"2026-04-15","cited_by_count":0,"area":"diffusion"},{"id":"2606.11569","title":"ConsistencyPlanner: Real-time Planning with Fast-Sampling Consistency Models","created":"2026-06-10","cited_by_count":0,"area":"diffusion"},{"id":"2607.01743","title":"InterCMDM: Block-Causal Diffusion for Autoregressive Human Interaction Generation","created":"2026-07-02","cited_by_count":0,"area":"diffusion"},{"id":"2609.30761","title":"Timo: $\\textbf{T}$aming Mult$\\textbf{i}$modal Diffusion Transformer for Human $\\textbf{Mo}$tion Generation","created":"2026-09-25","cited_by_count":0,"area":"diffusion"},{"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":"2610.03047","title":"Parasitic Co-Denoising: Unlocking 3D Human Motion Generation in a Frozen Video Diffusion Model","created":"2026-10-02","cited_by_count":0,"area":"diffusion"},{"id":"2610.14254","title":"Image Diffusion Models Are Good 3D Human Motion Generators","created":"2026-10-09","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}