{"total":39,"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":"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":"2508.08241","title":"BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided Diffusion","created":"2025-08-11","cited_by_count":165,"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":"2405.11126","title":"Flexible Motion In-betweening with Diffusion Models","created":"2024-05-17","cited_by_count":71,"area":"diffusion"},{"id":"2302.05905","title":"Single Motion Diffusion","created":"2023-02-12","cited_by_count":65,"area":"diffusion"},{"id":"2307.15042","title":"TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis","created":"2023-07-27","cited_by_count":49,"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":"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":"2212.02837","title":"Pretrained Diffusion Models for Unified Human Motion Synthesis","created":"2022-12-06","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":"2510.26794","title":"The Quest for Generalizable Motion Generation: Data, Model, and Evaluation","created":"2025-10-30","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":"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":"2408.16426","title":"COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation","created":"2024-08-29","cited_by_count":15,"area":"diffusion"},{"id":"2312.04867","title":"HandDiffuse: Generative Controllers for Two-Hand Interactions via Diffusion Models","created":"2023-12-08","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":"2409.19686","title":"Text-driven Human Motion Generation with Motion Masked Diffusion Model","created":"2024-09-29","cited_by_count":8,"area":"diffusion"},{"id":"2503.08417","title":"AnyMoLe: Any Character Motion In-betweening Leveraging Video Diffusion Models","created":"2025-03-11","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":"2505.20857","title":"Multi-Embodiment Robotic Retargeting via Guided Diffusion Model","created":"2025-05-27","cited_by_count":3,"area":"diffusion"},{"id":"2508.06093","title":"E-React: Towards Emotionally Controlled Synthesis of Human Reactions","created":"2025-08-08","cited_by_count":2,"area":"diffusion"},{"id":"2509.20927","title":"SimDiff: Simulator-constrained Diffusion Model for Physically Plausible Motion Generation","created":"2025-09-25","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":"2603.07697","title":"Learning Context-Adaptive Motion Priors for Masked Motion Diffusion Models with Efficient Kinematic Attention Aggregation","created":"2026-03-08","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":"2412.19500","title":"RobotDiffuse: Diffusion-Based Motion Planning for Redundant Manipulators with the ROP Obstacle Avoidance Dataset","created":"2024-12-27","cited_by_count":0,"area":"diffusion"},{"id":"2509.16064","title":"Generating Detailed Character Motion from Blocking Poses","created":"2025-09-19","cited_by_count":0,"area":"diffusion"},{"id":"2605.12778","title":"Generative Motion In-betweening by Diffusion over Continuous Implicit Representations","created":"2026-05-12","cited_by_count":0,"area":"diffusion"},{"id":"2606.13795","title":"DiPOD: Diffusion Policy Optimization without Drifting Apart","created":"2026-06-11","cited_by_count":0,"area":"diffusion"},{"id":"2608.03227","title":"PFM-HR: Pose Flow Matching for Humanoid Robots","created":"2026-08-04","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}