{"total":113,"rows":[{"id":"2209.14916","title":"Human Motion Diffusion Model","created":"2022-09-29","cited_by_count":1080,"area":"diffusion"},{"id":"2208.15001","title":"MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model","created":"2022-08-31","cited_by_count":780,"area":"diffusion"},{"id":"2212.04048","title":"Executing your Commands via Motion Diffusion in Latent Space","created":"2022-12-08","cited_by_count":575,"area":"diffusion"},{"id":"2212.02500","title":"PhysDiff: Physics-Guided Human Motion Diffusion Model","created":"2022-12-05","cited_by_count":368,"area":"diffusion"},{"id":"2303.01418","title":"Human Motion Diffusion as a Generative Prior","created":"2023-03-02","cited_by_count":357,"area":"diffusion"},{"id":"2305.12577","title":"Guided Motion Diffusion for Controllable Human Motion Synthesis","created":"2023-05-21","cited_by_count":223,"area":"diffusion"},{"id":"2209.00349","title":"FLAME: Free-form Language-based Motion Synthesis & Editing","created":"2022-09-01","cited_by_count":217,"area":"diffusion"},{"id":"2304.05684","title":"InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions","created":"2023-04-12","cited_by_count":206,"area":"diffusion"},{"id":"2211.09707","title":"Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models","created":"2022-11-17","cited_by_count":190,"area":"diffusion"},{"id":"2404.19759","title":"MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model","created":"2024-04-30","cited_by_count":168,"area":"diffusion"},{"id":"2312.03913","title":"Controllable Human-Object Interaction Synthesis","created":"2023-12-06","cited_by_count":109,"area":"diffusion"},{"id":"2410.03441","title":"CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control","created":"2024-10-04","cited_by_count":109,"area":"diffusion"},{"id":"2312.15004","title":"FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing","created":"2023-12-22","cited_by_count":106,"area":"diffusion"},{"id":"2312.11994","title":"Optimizing Diffusion Noise Can Serve As Universal Motion Priors","created":"2023-12-19","cited_by_count":98,"area":"diffusion"},{"id":"2312.02256","title":"EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation","created":"2023-12-04","cited_by_count":89,"area":"diffusion"},{"id":"2403.18036","title":"Move as You Say, Interact as You Can: Language-guided Human Motion Generation with Scene Affordance","created":"2024-03-26","cited_by_count":80,"area":"diffusion"},{"id":"2309.06284","title":"Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model","created":"2023-09-12","cited_by_count":79,"area":"diffusion"},{"id":"2308.14480","title":"Priority-Centric Human Motion Generation in Discrete Latent Space","created":"2023-08-28","cited_by_count":67,"area":"diffusion"},{"id":"2302.05905","title":"Single Motion Diffusion","created":"2023-02-12","cited_by_count":65,"area":"diffusion"},{"id":"2403.19652","title":"InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction","created":"2024-03-28","cited_by_count":64,"area":"diffusion"},{"id":"2305.09662","title":"Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation","created":"2023-05-16","cited_by_count":56,"area":"diffusion"},{"id":"2306.00416","title":"Interactive Character Control with Auto-Regressive Motion Diffusion Models","created":"2023-06-01","cited_by_count":55,"area":"diffusion"},{"id":"2403.11208","title":"THOR: Text to Human-Object Interaction Diffusion via Relation Intervention","created":"2024-03-17","cited_by_count":46,"area":"diffusion"},{"id":"2311.01015","title":"Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs","created":"2023-11-02","cited_by_count":45,"area":"diffusion"},{"id":"2306.09337","title":"Generative Proxemics: A Prior for 3D Social Interaction from Images","created":"2023-06-15","cited_by_count":43,"area":"diffusion"},{"id":"2310.02242","title":"Hierarchical Generation of Human-Object Interactions with Diffusion Probabilistic Models","created":"2023-10-03","cited_by_count":43,"area":"diffusion"},{"id":"2403.01693","title":"HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances","created":"2024-03-04","cited_by_count":42,"area":"diffusion"},{"id":"2312.11538","title":"Iterative Motion Editing with Natural Language","created":"2023-12-15","cited_by_count":40,"area":"diffusion"},{"id":"2312.04466","title":"Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion","created":"2023-12-07","cited_by_count":39,"area":"diffusion"},{"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":"2312.08895","title":"Motion Flow Matching for Human Motion Synthesis and Editing","created":"2023-12-14","cited_by_count":38,"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":"2310.14729","title":"MAS: Multi-view Ancestral Sampling for 3D motion generation using 2D diffusion","created":"2023-10-23","cited_by_count":37,"area":"diffusion"},{"id":"2407.12783","title":"SMooDi: Stylized Motion Diffusion Model","created":"2024-07-17","cited_by_count":37,"area":"diffusion"},{"id":"2406.06508","title":"Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer","created":"2024-06-10","cited_by_count":31,"area":"diffusion"},{"id":"2212.02837","title":"Pretrained Diffusion Models for Unified Human Motion Synthesis","created":"2022-12-06","cited_by_count":26,"area":"diffusion"},{"id":"2410.07296","title":"ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model","created":"2024-10-09","cited_by_count":26,"area":"diffusion"},{"id":"2407.14502","title":"M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models","created":"2024-07-19","cited_by_count":24,"area":"diffusion"},{"id":"2311.15864","title":"InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint","created":"2023-11-27","cited_by_count":23,"area":"diffusion"},{"id":"2401.02142","title":"GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation","created":"2024-01-04","cited_by_count":22,"area":"diffusion"},{"id":"2308.01850","title":"Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling","created":"2023-08-03","cited_by_count":19,"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":"2405.03485","title":"LGTM: Local-to-Global Text-Driven Human Motion Diffusion Model","created":"2024-05-06","cited_by_count":18,"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":"2301.03949","title":"Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models","created":"2023-01-10","cited_by_count":17,"area":"diffusion"},{"id":"2312.10993","title":"Realistic Human Motion Generation with Cross-Diffusion Models","created":"2023-12-18","cited_by_count":17,"area":"diffusion"},{"id":"2506.19851","title":"AnimaX: Animating the Inanimate in 3D with Joint Video-Pose Diffusion Models","created":"2025-06-24","cited_by_count":15,"area":"diffusion"},{"id":"2312.10960","title":"Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model","created":"2023-12-18","cited_by_count":13,"area":"diffusion"},{"id":"2402.04356","title":"Bidirectional Autoregressive Diffusion Model for Dance Generation","created":"2024-02-06","cited_by_count":13,"area":"diffusion"},{"id":"2406.04629","title":"STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting","created":"2024-06-07","cited_by_count":13,"area":"diffusion"},{"id":"2412.20657","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","created":"2024-12-30","cited_by_count":13,"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":"2305.13773","title":"Enhanced Fine-grained Motion Diffusion for Text-driven Human Motion Synthesis","created":"2023-05-23","cited_by_count":10,"area":"diffusion"},{"id":"2401.11115","title":"MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation","created":"2024-01-20","cited_by_count":10,"area":"diffusion"},{"id":"2407.10528","title":"Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation","created":"2024-07-15","cited_by_count":10,"area":"diffusion"},{"id":"2407.11532","title":"Length-Aware Motion Synthesis via Latent Diffusion","created":"2024-07-16","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":"2409.19686","title":"Text-driven Human Motion Generation with Motion Masked Diffusion Model","created":"2024-09-29","cited_by_count":8,"area":"diffusion"},{"id":"2309.03031","title":"MCM: Multi-condition Motion Synthesis Framework for Multi-scenario","created":"2023-09-06","cited_by_count":7,"area":"diffusion"},{"id":"2409.11920","title":"Generation of Complex 3D Human Motion by Temporal and Spatial Composition of Diffusion Models","created":"2024-09-18","cited_by_count":7,"area":"diffusion"},{"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":"2412.16670","title":"Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer","created":"2024-12-21","cited_by_count":6,"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":"2403.02905","title":"MMoFusion: Multi-modal Co-Speech Motion Generation with Diffusion Model","created":"2024-03-05","cited_by_count":5,"area":"diffusion"},{"id":"2501.01449","title":"LS-GAN: Human Motion Synthesis with Latent-space GANs","created":"2024-12-30","cited_by_count":5,"area":"diffusion"},{"id":"2312.02772","title":"FG-MDM: Towards Zero-Shot Human Motion Generation via ChatGPT-Refined Descriptions","created":"2023-12-05","cited_by_count":4,"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":"2603.16188","title":"ECHO: Edge-Cloud Humanoid Orchestration for Language-to-Motion Control","created":"2026-03-17","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":"2401.17212","title":"ContactGen: Contact-Guided Interactive 3D Human Generation for Partners","created":"2024-01-30","cited_by_count":3,"area":"diffusion"},{"id":"2409.20502","title":"COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language Models","created":"2024-09-30","cited_by_count":3,"area":"diffusion"},{"id":"2505.20056","title":"PAMD: Plausibility-Aware Motion Diffusion Model for Long Dance Generation","created":"2025-05-26","cited_by_count":3,"area":"diffusion"},{"id":"2507.06590","title":"MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction","created":"2025-07-09","cited_by_count":3,"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":"2404.12886","title":"MCM: Multi-condition Motion Synthesis Framework","created":"2024-04-19","cited_by_count":2,"area":"diffusion"},{"id":"2410.09396","title":"ExpGest: Expressive Speaker Generation Using Diffusion Model and Hybrid Audio-Text Guidance","created":"2024-10-12","cited_by_count":2,"area":"diffusion"},{"id":"2510.12537","title":"Unconditional Human Motion and Shape Generation via Balanced Score-Based Diffusion","created":"2025-10-14","cited_by_count":2,"area":"diffusion"},{"id":"2602.04188","title":"DiMo: Discrete Diffusion Modeling for Motion Generation and Understanding","created":"2026-02-04","cited_by_count":2,"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":"2410.03860","title":"MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertainty","created":"2024-10-04","cited_by_count":1,"area":"diffusion"},{"id":"2411.04646","title":"DanceFusion: A Spatio-Temporal Skeleton Diffusion Transformer for Audio-Driven Dance Motion Reconstruction","created":"2024-11-07","cited_by_count":1,"area":"diffusion"},{"id":"2503.06151","title":"Biomechanics-Guided Residual Approach to Generalizable Human Motion Generation and Estimation","created":"2025-03-08","cited_by_count":1,"area":"diffusion"},{"id":"2503.11028","title":"EmoDiffusion: Enhancing Emotional 3D Facial Animation with Latent Diffusion Models","created":"2025-03-14","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":"2510.06988","title":"No MoCap Needed: Post-Training Motion Diffusion Models with Reinforcement Learning using Only Textual Prompts","created":"2025-10-08","cited_by_count":1,"area":"diffusion"},{"id":"2604.10836","title":"HO-Flow: Generalizable Hand-Object Interaction Generation with Latent Flow Matching","created":"2026-04-12","cited_by_count":1,"area":"diffusion"},{"id":"2406.07169","title":"RDM: Recurrent Diffusion Model for Human Motion Generation","created":"2024-06-11","cited_by_count":0,"area":"diffusion"},{"id":"2411.12831","title":"Towards motion from video diffusion models","created":"2024-11-19","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":"2505.21146","title":"IKMo: Image-Keyframed Motion Generation with Trajectory-Pose Conditioned Motion Diffusion Model","created":"2025-05-27","cited_by_count":0,"area":"diffusion"},{"id":"2509.24469","title":"LaMoGen: Laban Movement-Guided Diffusion for Text-to-Motion Generation","created":"2025-09-29","cited_by_count":0,"area":"diffusion"},{"id":"2512.22324","title":"DeMoGen: Towards Decompositional Human Motion Generation with Energy-Based Diffusion Models","created":"2025-12-26","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":"2603.08023","title":"Not Like Transformers: Drop the Beat Representation for Dance Generation with Mamba-Based Diffusion Model","created":"2026-03-09","cited_by_count":0,"area":"diffusion"},{"id":"2603.08028","title":"Controllable Complex Human Motion Video Generation via Text-to-Skeleton Cascades","created":"2026-03-09","cited_by_count":0,"area":"diffusion"}],"next_cursor":"100"}