{"id":30865863,"url":"https://github.com/zilize/awesome-text-to-motion","last_synced_at":"2025-09-07T22:02:43.315Z","repository":{"id":310066594,"uuid":"1038575518","full_name":"Zilize/awesome-text-to-motion","owner":"Zilize","description":"Text-driven human motion generation surveys, datasets and models.","archived":false,"fork":false,"pushed_at":"2025-08-15T14:15:19.000Z","size":130,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-08-15T15:34:54.580Z","etag":null,"topics":["animation","awesome","awesome-list","computer-graphics","computer-vision","conditional-generation","diffusion-models","embodied-ai","human-motion","motion-estimation","motion-generation","multi-modal"],"latest_commit_sha":null,"homepage":"https://zilize.github.io/awesome-text-to-motion","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Zilize.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-08-15T13:07:38.000Z","updated_at":"2025-08-15T14:24:17.000Z","dependencies_parsed_at":"2025-08-15T15:34:56.940Z","dependency_job_id":"37496b1d-c92b-4a7f-aecd-3caa5e0de0d9","html_url":"https://github.com/Zilize/awesome-text-to-motion","commit_stats":null,"previous_names":["zilize/awesome-text-to-motion"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/Zilize/awesome-text-to-motion","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Zilize%2Fawesome-text-to-motion","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Zilize%2Fawesome-text-to-motion/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Zilize%2Fawesome-text-to-motion/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Zilize%2Fawesome-text-to-motion/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Zilize","download_url":"https://codeload.github.com/Zilize/awesome-text-to-motion/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Zilize%2Fawesome-text-to-motion/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274101768,"owners_count":25222447,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-07T02:00:09.463Z","response_time":67,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["animation","awesome","awesome-list","computer-graphics","computer-vision","conditional-generation","diffusion-models","embodied-ai","human-motion","motion-estimation","motion-generation","multi-modal"],"created_at":"2025-09-07T22:02:35.103Z","updated_at":"2025-09-07T22:02:43.272Z","avatar_url":"https://github.com/Zilize.png","language":"Python","funding_links":[],"categories":["Other Lists"],"sub_categories":["TeX Lists"],"readme":"# awesome-text-to-motion\n\n\u003ca href='https://zilize.github.io/awesome-text-to-motion/'\u003e\n  \u003cimg src='https://img.shields.io/badge/Project-Page-%23df5b46?style=flat\u0026logo=Google%20chrome\u0026logoColor=%23df5b46'  alt=\"project_page\"/\u003e\u003c/a\u003e \n\u003ca href='https://zilize.github.io/awesome-text-to-motion/'\u003e\n  \u003cimg src='https://img.shields.io/badge/Interactive-Charts-%2346a5df?style=flat\u0026logo=plotly\u0026logoColor=white' alt=\"interactive_charts\"/\u003e\u003c/a\u003e\n\u003ca href='https://github.com/Zilize/awesome-text-to-motion/actions/workflows/static.yml'\u003e\n  \u003cimg src='https://img.shields.io/github/actions/workflow/status/zilize/awesome-text-to-motion/static.yml'  alt=\"workflow\"/\u003e\u003c/a\u003e \n\u003ca href=\"https://zhuanlan.zhihu.com/p/1940481020941043393\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/知乎-文章-%23f5f5f5?style=flat\u0026logo=Zhihu\u0026logoColor=%23188de0\" alt=\"知乎文章\"/\u003e\n\u003c/a\u003e\n\nText-driven human motion generation surveys, datasets and models, focusing on single-person scenarios without human-object/scene interaction.\nPlease refer to the [project page](https://zilize.github.io/awesome-text-to-motion/) for a better browsing experience with interactive visualizations and statistical charts.\n\n\u003cdetails\u003e\n\u003csummary\u003e\u003cb\u003eContribution Guide\u003c/b\u003e (Click to expand)\u003c/summary\u003e\n\n---\n\nWe welcome contributions to make this repository more comprehensive and up-to-date! \n\n### How to Contribute\n\n1. **Fork this repository** to your GitHub account\n2. **Create a new branch** for your contribution\n3. **Add your papers** following the guidelines below\n4. **Submit a Pull Request** with a clear description of your changes\n\n### Adding Papers\n\n#### For Papers with arXiv IDs:\n- **File**: `data/arxiv.csv`\n- **Format**: Add a new row with the following columns:\n  - `arxiv_id`: The arXiv ID (e.g., \"2507.05419\")\n  - `survey`: \"1\" if it's a survey paper, \"0\" otherwise\n  - `survey_abbr`: Abbreviation for survey papers (e.g., \"Survey2507\")\n  - `model`: \"1\" if it's a model paper, \"0\" otherwise\n  - `model_abbr`: Abbreviation for model papers (e.g., \"MotionGen\")\n  - `dataset`: \"1\" if it's a dataset paper, \"0\" otherwise\n  - `dataset_abbr`: Abbreviation for dataset papers (e.g., \"MotionX\")\n  - `submission`: Conference/journal name (e.g., \"CVPR\")\n  - `submission_year`: Year of submission (e.g., \"2025\")\n  - `page`: Project page URL (if available)\n  - `repo`: GitHub repository URL (if available)\n  - `backbone_tags`: Comma-separated backbone tags (e.g., \"Transformer, Diffusion\")\n  - `approach_tags`: Comma-separated approach tags (e.g., \"Physical, Editing\")\n\n#### For Papers without arXiv IDs:\n- **File**: `data/without-arxiv.json`\n- **Format**: Add a new JSON object with the following structure:\n```json\n{\n    \"arxiv_id\": \"random-key-for-your-interest\",\n    \"title\": \"Paper Title\",\n    \"abstract\": \"Paper abstract...\",\n    \"authors\": [\"Author 1\", \"Author 2\"],\n    \"year\": 2025,\n    \"month\": 7,\n    \"url\": \"https://paper-url.com\",\n    \"survey\": false,\n    \"survey_abbr\": \"\",\n    \"model\": true,\n    \"model_abbr\": \"ModelName\",\n    \"dataset\": false,\n    \"dataset_abbr\": \"\",\n    \"submission\": \"Conference\",\n    \"submission_year\": \"2025\",\n    \"page\": \"https://project-page.com\",\n    \"repo\": \"https://github.com/user_name/repo\",\n    \"backbone_tags\": \"Transformer, Diffusion\",\n    \"approach_tags\": \"Physical, Editing\"\n}\n```\n\nThank you for contributing to the awesome-text-to-motion collection! 🚀\n\n---\n\n\u003c/details\u003e\n\n## Contents\n\n- [Surveys](#surveys)\n- [Datasets](#datasets)\n- [Models](#models)\n\n## Surveys\n\n- \"Motion Generation: A Survey of Generative Approaches and Benchmarks\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2507.05419)\n\n- \"Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2506.03191)\n\n- \"Text-driven Motion Generation: Overview, Challenges and Directions\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2505.09379)\n\n- \"Human Motion Generation: A Survey\". `TPAMI(2023)` [[URL]](https://arxiv.org/abs/2307.10894)\n\n\n\n## Datasets\n\n- **UniMo4D**: \"X-MoGen: Unified Motion Generation across Humans and Animals\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2508.05162)\n\n- **FineMotion**: \"FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2507.19850) [[Code]](https://github.com/BizhuWu/FineMotion)\n\n- **SnapMoGen**: \"SnapMoGen: Human Motion Generation from Expressive Texts\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2507.09122) [[Project Page]](https://snap-research.github.io/SnapMoGen/) [[Code]](https://github.com/snap-research/SnapMoGen)\n\n- **MotionMillion**: \"Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data\". `ICCV(2025)` [[URL]](https://arxiv.org/abs/2507.07095) [[Project Page]](https://vankouf.github.io/MotionMillion/) [[Code]](https://github.com/VankouF/MotionMillion-Codes)\n\n- **HumanAttr**: \"Generating Attribute-Aware Human Motions from Textual Prompt\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2506.21912)\n\n- **GBC-100K**: \"From Motion to Behavior: Hierarchical Modeling of Humanoid Generative Behavior Control\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2506.00043)\n\n- **STANCE**: \"Dynamic Motion Blending for Versatile Motion Editing\". `CVPR(2025)` [[URL]](https://arxiv.org/abs/2503.20724) [[Project Page]](https://awfuact.github.io/motionrefit/) [[Code]](https://github.com/emptybulebox1/motionRefit/)\n\n- **PerMo**: \"PersonaBooth: Personalized Text-to-Motion Generation\". `CVPR(2025)` [[URL]](https://arxiv.org/abs/2503.07390) [[Project Page]](https://boeun-kim.github.io/page-PersonaBooth/) [[Code]](https://github.com/Boeun-Kim/PersonaBooth)\n\n- **TMD**: \"Motion Anything: Any to Motion Generation\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2503.06955) [[Project Page]](https://steve-zeyu-zhang.github.io/MotionAnything/)\n\n- **Motion-X++**: \"Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion Dataset\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2501.05098)\n\n- **MotionFix**: \"MotionFix: Text-Driven 3D Human Motion Editing\". `SIGGRAPH Asia(2024)` [[URL]](https://arxiv.org/abs/2408.00712) [[Project Page]](https://motionfix.is.tue.mpg.de/) [[Code]](https://github.com/atnikos/motionfix)\n\n- **HumanML3D-Extend**: \"Infinite Motion: Extended Motion Generation via Long Text Instructions\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2407.08443) [[Project Page]](https://shuochengzhai.github.io/Infinite-motion.github.io/)\n\n- **MotionPercept**: \"Aligning Human Motion Generation with Human Perceptions\". `ICLR(2025)` [[URL]](https://arxiv.org/abs/2407.02272) [[Project Page]](https://motioncritic.github.io/) [[Code]](https://github.com/ou524u/MotionCritic)\n\n- **PaM**: \"MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2405.03803)\n\n- **HumanML3D++**: \"You Think, You ACT: The New Task of Arbitrary Text to Motion Generation\". `ICCV(2025)` [[URL]](https://arxiv.org/abs/2404.14745)\n\n- **MotionVerse**: \"Large Motion Model for Unified Multi-Modal Motion Generation\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2404.01284) [[Project Page]](https://mingyuan-zhang.github.io/projects/LMM.html) [[Code]](https://github.com/mingyuan-zhang/LMM)\n\n- **RICH-CAT**: \"Contact-aware Human Motion Generation from Textual Descriptions\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2403.15709) [[Project Page]](https://xymsh.github.io/RICH-CAT/)\n\n- **FineHumanML3D**: \"Motion Generation from Fine-grained Textual Descriptions\". `LREC-COLING(2024)` [[URL]](https://arxiv.org/abs/2403.13518) [[Code]](https://github.com/KunhangL/finemotiondiffuse)\n\n- **BlindWays**: \"Text to Blind Motion\". `NeurIPS(2024)` [[URL]](https://arxiv.org/abs/2412.05277) [[Project Page]](https://blindways.github.io/)\n\n- **LaViMo**: \"Text Motion Translator: A Bi-Directional Model for Enhanced 3D Human Motion Generation from Open-Vocabulary Descriptions\". `ECCV(2024)` [[URL]](https://eccv.ecva.net/virtual/2024/poster/266)\n\n- **Inter-MT2**: \"A Unified Framework for Motion Reasoning and Generation in Human Interaction\". `ICCV(2025)` [[URL]](https://arxiv.org/abs/2410.05628) [[Project Page]](https://vim-motion-language.github.io/)\n\n- **MotionLib**: \"Scaling Large Motion Models with Million-Level Human Motions\". `ICML(2025)` [[URL]](https://arxiv.org/abs/2410.03311) [[Project Page]](https://beingbeyond.github.io/Being-M0/) [[Code]](https://github.com/BeingBeyond/Being-M0)\n\n- **HumanML3D-synthesis**: \"CLaM: An Open-Source Library for Performance Evaluation of Text-driven Human Motion Generation\". `MM(24)` [[URL]](https://dl.acm.org/doi/10.1145/3664647.3685523) [[Code]](https://github.com/SheldongChen/CLaM/)\n\n- **Limb-ET2M**: \"Towards Emotion-enriched Text-to-Motion Generation via LLM-guided Limb-level Emotion Manipulating\n\". `MM(2024)` [[URL]](https://dl.acm.org/doi/10.1145/3664647.3681487) [[Code]](https://github.com/aekx/L3EM)\n\n- **Motion-X**: \"Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset\". `NeurIPS(2023)` [[URL]](https://arxiv.org/abs/2307.00818) [[Project Page]](https://motion-x-dataset.github.io/) [[Code]](https://github.com/IDEA-Research/Motion-X)\n\n- **HumanLong3D**: \"AMD: Autoregressive Motion Diffusion\". `AAAI(2024)` [[URL]](https://arxiv.org/abs/2305.09381) [[Code]](https://github.com/fluide1022/AMD)\n\n- **HuMMan-MoGen**: \"FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing\". `NeurIPS(2023)` [[URL]](https://arxiv.org/abs/2312.15004) [[Project Page]](https://mingyuan-zhang.github.io/projects/FineMoGen.html) [[Code]](https://github.com/mingyuan-zhang/FineMoGen)\n\n- **HumanML3D**: \"Generating Diverse and Natural 3D Human Motions from Text\". `CVPR(2022)` [[URL]](https://openaccess.thecvf.com/content/CVPR2022/papers/Guo_Generating_Diverse_and_Natural_3D_Human_Motions_From_Text_CVPR_2022_paper.pdf) [[Project Page]](https://ericguo5513.github.io/text-to-motion/) [[Code]](https://github.com/EricGuo5513/text-to-motion)\n\n- **KIT**: \"The KIT Motion-Language Dataset\". `Big Data(2016)` [[URL]](https://arxiv.org/abs/1607.03827) [[Project Page]](https://motion-annotation.humanoids.kit.edu/dataset/)\n\n\n\n## Models\n\n- **X-MoGen**: \"X-MoGen: Unified Motion Generation across Humans and Animals\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2508.05162)\n\n- **ReMoMask**: \"ReMoMask: Retrieval-Augmented Masked Motion Generation\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2508.02605) [[Project Page]](https://aigeeksgroup.github.io/ReMoMask/) [[Code]](https://github.com/AIGeeksGroup/ReMoMask)\n\n- **SASI**: \"Semantically Consistent Text-to-Motion with Unsupervised Styles\". `SIGGRAPH(2025)` [[URL]](https://dl.acm.org/doi/10.1145/3721238.3730641) [[Project Page]](https://fivezerojun.github.io/stylization.github.io/)\n\n- **MoMask++**: \"SnapMoGen: Human Motion Generation from Expressive Texts\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2507.09122) [[Project Page]](https://snap-research.github.io/SnapMoGen/) [[Code]](https://github.com/snap-research/SnapMoGen)\n\n- **GotoZero**: \"Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data\". `ICCV(2025)` [[URL]](https://arxiv.org/abs/2507.07095) [[Project Page]](https://vankouf.github.io/MotionMillion/) [[Code]](https://github.com/VankouF/MotionMillion-Codes)\n\n- **MOST**: \"MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2507.06590)\n\n- **MotionGPT3**: \"MotionGPT3: Human Motion as a Second Modality\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2506.24086) [[Project Page]](https://motiongpt3.github.io/) [[Code]](https://github.com/OpenMotionLab/MotionGPT3)\n\n- **AttrMoGen**: \"Generating Attribute-Aware Human Motions from Textual Prompt\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2506.21912)\n\n- **Motion-R1**: \"Motion-R1: Chain-of-Thought Reasoning and Reinforcement Learning for Human Motion Generation\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2506.10353) [[Project Page]](https://motion-r1.github.io/) [[Code]](https://github.com/GigaAI-Research/Motion-R1)\n\n- **MOGO**: \"MOGO: Residual Quantized Hierarchical Causal Transformer for High-Quality and Real-Time 3D Human Motion Generation\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2506.05952)\n\n- **ANT**: \"ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2506.02452) [[Code]](https://github.com/CCSCovenant/ANT)\n\n- **PHYLOMAN**: \"From Motion to Behavior: Hierarchical Modeling of Humanoid Generative Behavior Control\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2506.00043)\n\n- **ACMDM**: \"Absolute Coordinates Make Motion Generation Easy\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2505.19377) [[Project Page]](https://neu-vi.github.io/ACMDM/) [[Code]](https://github.com/neu-vi/ACMDM)\n\n- **MoMADiff**: \"Towards Robust and Controllable Text-to-Motion via Masked Autoregressive Diffusion\". `MM(2025)` [[URL]](https://arxiv.org/abs/2505.11013) [[Code]](https://github.com/zzysteve/MoMADiff)\n\n- **ReAlign**: \"ReAlign: Bilingual Text-to-Motion Generation via Step-Aware Reward-Guided Alignment\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2505.04974) [[Project Page]](https://wengwanjiang.github.io/ReAlign-page/)\n\n- **GENMO**: \"GENMO: A GENeralist Model for Human MOtion\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2505.01425) [[Project Page]](https://research.nvidia.com/labs/dair/genmo/)\n\n- **DSDFM**: \"Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis\". `CVPR(2025)` [[URL]](https://arxiv.org/abs/2505.00998)\n\n- **UniPhys**: \"UniPhys: Unified Planner and Controller with Diffusion for Flexible Physics-Based Character Control\". `ICCV(2025)` [[URL]](https://arxiv.org/abs/2504.12540) [[Project Page]](https://wuyan01.github.io/uniphys-project/)\n\n- **Shape-Move**: \"Shape My Moves: Text-Driven Shape-Aware Synthesis of Human Motions\". `CVPR(2025)` [[URL]](https://arxiv.org/abs/2504.03639) [[Project Page]](https://shape-move.github.io/) [[Code]](https://github.com/shape-move/shape-move-public)\n\n- **MG-MotionLLM**: \"MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities\". `CVPR(2025)` [[URL]](https://arxiv.org/abs/2504.02478) [[Code]](https://github.com/CVI-SZU/MG-MotionLLM)\n\n- **FlowMotion**: \"FlowMotion: Target-Predictive Conditional Flow Matching for Jitter-Reduced Text-Driven Human Motion Generation\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2504.01338)\n\n- **MixerMDM**: \"MixerMDM: Learnable Composition of Human Motion Diffusion Models\". `CVPR(2025)` [[URL]](https://arxiv.org/abs/2504.01019) [[Project Page]](https://pabloruizponce.com/papers/MixerMDM) [[Code]](https://github.com/pabloruizponce/MixerMDM)\n\n- **ReMoGPT**: \"ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models\". `AAAI(2025)` [[URL]](https://ojs.aaai.org/index.php/AAAI/article/view/33044)\n\n- **UniTMGE**: \"UniTMGE: Uniform Text-Motion Generation and Editing Model via Diffusion\". `WACV(2025)` [[URL]](https://ieeexplore.ieee.org/document/10943808)\n\n- **MotionReFit**: \"Dynamic Motion Blending for Versatile Motion Editing\". `CVPR(2025)` [[URL]](https://arxiv.org/abs/2503.20724) [[Project Page]](https://awfuact.github.io/motionrefit/) [[Code]](https://github.com/emptybulebox1/motionRefit/)\n\n- **LoRA-MDM**: \"Dance Like a Chicken: Low-Rank Stylization for Human Motion Diffusion\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2503.19557) [[Project Page]](https://haimsaw.github.io/LoRA-MDM/) [[Code]](https://github.com/haimsaw/LoRA-MDM)\n\n- **HMU**: \"Human Motion Unlearning\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2503.18674) [[Project Page]](https://www.pinlab.org/hmu) [[Code]](https://github.com/edodema/human-motion-unlearning)\n\n- **SimMotionEdit**: \"SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction\". `CVPR(2025)` [[URL]](https://arxiv.org/abs/2503.18211) [[Project Page]](https://ideas.cs.purdue.edu/research/projects/sim-motion-edit/) [[Code]](https://github.com/lzhyu/SimMotionEdit)\n\n- **MotionStreamer**: \"MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space\". `ICCV(2025)` [[URL]](https://arxiv.org/abs/2503.15451) [[Project Page]](https://zju3dv.github.io/MotionStreamer/) [[Code]](https://github.com/zju3dv/MotionStreamer/)\n\n- **GenM3**: \"GenM$^3$: Generative Pretrained Multi-path Motion Model for Text Conditional Human Motion Generation\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2503.14919)\n\n- **Kinesis**: \"Reinforcement learning-based motion imitation for physiologically plausible musculoskeletal motor control\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2503.14637) [[Code]](https://github.com/amathislab/Kinesis)\n\n- **sMDM**: \"Less is More: Improving Motion Diffusion Models with Sparse Keyframes\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2503.13859)\n\n- **SALAD**: \"SALAD: Skeleton-aware Latent Diffusion for Text-driven Motion Generation and Editing\". `CVPR(2025)` [[URL]](https://arxiv.org/abs/2503.13836) [[Project Page]](https://seokhyeonhong.github.io/projects/salad/) [[Code]](https://github.com/seokhyeonhong/salad)\n\n- **PMG**: \"Progressive Human Motion Generation Based on Text and Few Motion Frames\". `TCSVT(2025)` [[URL]](https://arxiv.org/abs/2503.13300) [[Code]](https://github.com/qinghuannn/PMG)\n\n- **PersonaBooth**: \"PersonaBooth: Personalized Text-to-Motion Generation\". `CVPR(2025)` [[URL]](https://arxiv.org/abs/2503.07390) [[Project Page]](https://boeun-kim.github.io/page-PersonaBooth/) [[Code]](https://github.com/Boeun-Kim/PersonaBooth)\n\n- **MotionAnything**: \"Motion Anything: Any to Motion Generation\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2503.06955) [[Project Page]](https://steve-zeyu-zhang.github.io/MotionAnything/)\n\n- **BioVAE**: \"Biomechanics-Guided Residual Approach to Generalizable Human Motion Generation and Estimation\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2503.06151)\n\n- **MoMug**: \"Unlocking Pretrained LLMs for Motion-Related Multimodal Generation: A Fine-Tuning Approach to Unify Diffusion and Next-Token Prediction\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2503.06119)\n\n- **Fg-T2M++**: \"Fg-T2M++: LLMs-Augmented Fine-Grained Text Driven Human Motion Generation\". `IJCV(2025)` [[URL]](https://arxiv.org/abs/2502.05534)\n\n- **MotionLab**: \"MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm\". `ICCV(2025)` [[URL]](https://arxiv.org/abs/2502.02358) [[Project Page]](https://diouo.github.io/motionlab.github.io/) [[Code]](https://github.com/Diouo/MotionLab)\n\n- **CASIM**: \"CASIM: Composite Aware Semantic Injection for Text to Motion Generation\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2502.02063) [[Project Page]](https://cjerry1243.github.io/casim_t2m/) [[Code]](https://github.com/cjerry1243/casim_t2m)\n\n- **SPORT**: \"SPORT: From Zero-shot Prompts to Real-time Motion Generation\". `TVCG(2025)` [[URL]](https://ieeexplore.ieee.org/document/10891181/)\n\n- **MotionPCM**: \"MotionPCM: Real-Time Motion Synthesis with Phased Consistency Model\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2501.19083)\n\n- **Free-T2M**: \"Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency Loss\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2501.18232)\n\n- **FlexMotion**: \"FlexMotion: Lightweight, Physics-Aware, and Controllable Human Motion Generation\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2501.16778) [[Project Page]](https://openreview.net/forum?id=7652tHbbVE)\n\n- **PackDiT**: \"PackDiT: Joint Human Motion and Text Generation via Mutual Prompting\". `arXiv(2025)` [[URL]](https://arxiv.org/abs/2501.16551)\n\n- **MMDM**: \"Text-driven Human Motion Generation with Motion Masked Diffusion Model\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2409.19686)\n\n- **EgoLM**: \"EgoLM: Multi-Modal Language Model of Egocentric Motions\". `CVPR(2025)` [[URL]](https://arxiv.org/abs/2409.18127) [[Project Page]](https://hongfz16.github.io/projects/EgoLM)\n\n- **MoGenTS**: \"MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling\". `NeurIPS(2024)` [[URL]](https://arxiv.org/abs/2409.17686) [[Project Page]](https://aigc3d.github.io/mogents/) [[Code]](https://github.com/weihaosky/mogents)\n\n- **UniMotion**: \"Unimotion: Unifying 3D Human Motion Synthesis and Understanding\". `3DV(2025)` [[URL]](https://arxiv.org/abs/2409.15904) [[Project Page]](https://coral79.github.io/uni-motion/) [[Code]](https://github.com/Coral79/Unimotion)\n\n- **MaskedMimic**: \"MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting\". `SIGGRAPH Asia(2024)` [[URL]](https://arxiv.org/abs/2409.14393) [[Project Page]](https://xbpeng.github.io/projects/MaskedMimic/index.html) [[Code]](https://github.com/NVlabs/ProtoMotions)\n\n- **T2M-X**: \"T2M-X: Learning Expressive Text-to-Motion Generation from Partially Annotated Data\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2409.13251)\n\n- **MoRAG**: \"MoRAG -- Multi-Fusion Retrieval Augmented Generation for Human Motion\". `WACV(2025)` [[URL]](https://arxiv.org/abs/2409.12140) [[Project Page]](https://motion-rag.github.io/) [[Code]](https://github.com/Motion-RAG/MoRAG)\n\n- **BAD**: \"BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2409.10847) [[Project Page]](https://rohollahhs.github.io/BAD-page/) [[Code]](https://github.com/rohollahhs/bad/)\n\n- **LaMoG**: \"Lagrangian Motion Fields for Long-term Motion Generation\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2409.01522) [[Project Page]](https://plyfager.github.io/LaMoG/)\n\n- **TextIM**: \"TextIM: Part-aware Interactive Motion Synthesis from Text\". `EUROGRAPHICS(2025)` [[URL]](https://arxiv.org/abs/2408.03302)\n\n- **TMED**: \"MotionFix: Text-Driven 3D Human Motion Editing\". `SIGGRAPH Asia(2024)` [[URL]](https://arxiv.org/abs/2408.00712) [[Project Page]](https://motionfix.is.tue.mpg.de/) [[Code]](https://github.com/atnikos/motionfix)\n\n- **ALERT-Motion**: \"Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion\". `AAAI(2025)` [[URL]](https://arxiv.org/abs/2408.00352)\n\n- **MotionCraft**: \"MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls\". `AAAI(2025)` [[URL]](https://arxiv.org/abs/2407.21136) [[Project Page]](https://cure-lab.github.io/MotionCraft/) [[Code]](https://github.com/cure-lab/MotionCraft)\n\n- **M2D2M**: \"M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models\". `ECCV(2024)` [[URL]](https://arxiv.org/abs/2407.14502)\n\n- **SMooDi**: \"SMooDi: Stylized Motion Diffusion Model\". `ECCV(2024)` [[URL]](https://arxiv.org/abs/2407.12783) [[Project Page]](https://neu-vi.github.io/SMooDi/) [[Code]](https://github.com/neu-vi/SMooDi)\n\n- **GuidedMotion**: \"Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2407.10528) [[Project Page]](https://jpthu17.github.io/GuidedMotion-project/)\n\n- **SuperPADL**: \"SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2407.10481)\n\n- **InfiniMotion**: \"InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2407.10061)\n\n- **InfiniteMotion**: \"Infinite Motion: Extended Motion Generation via Long Text Instructions\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2407.08443) [[Project Page]](https://shuochengzhai.github.io/Infinite-motion.github.io/)\n\n- **MotionGPT**: \"MotionGPT: Human Motion Synthesis with Improved Diversity and Realism via GPT-3 Prompting\". `WACV(2024)` [[URL]](https://ieeexplore.ieee.org/document/10484383) [[Code]](https://github.com/humansensinglab/MotionGPT)\n\n- **MoLA**: \"MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial Training\". `CVPR Workshop(2025)` [[URL]](https://arxiv.org/abs/2406.01867) [[Project Page]](https://kengouchida-sony.github.io/MoLA-demo/) [[Code]](https://github.com/sony/MoLA)\n\n- **T2LM**: \"T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences\". `CVPR Workshop(2024)` [[URL]](https://arxiv.org/abs/2406.00636)\n\n- **ProgMoGen**: \"Programmable Motion Generation for Open-Set Motion Control Tasks\". `CVPR(2024)` [[URL]](https://arxiv.org/abs/2405.19283) [[Project Page]](https://hanchaoliu.github.io/Prog-MoGen/) [[Code]](https://github.com/HanchaoLiu/ProgMoGen)\n\n- **Motion-Agent**: \"Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs\". `ICLR(2025)` [[URL]](https://arxiv.org/abs/2405.17013) [[Project Page]](https://knoxzhao.github.io/Motion-Agent/) [[Code]](https://github.com/szqwu/Motion-Agent)\n\n- **TMR++**: \"A Cross-Dataset Study for Text-based 3D Human Motion Retrieval\". `CVPR Workshop(2024)` [[URL]](https://arxiv.org/abs/2405.16909) [[Project Page]](https://imagine.enpc.fr/~leore.bensabath/TMR++/) [[Code]](https://github.com/leorebensabath/TMRPlusPlus)\n\n- **M3GPT**: \"M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation\". `NeurIPS(2024)` [[URL]](https://arxiv.org/abs/2405.16273) [[Project Page]](https://luomingshuang.github.io/M3GPT/) [[Code]](https://github.com/luomingshuang/M3GPT)\n\n- **InstructMotion**: \"Learning Generalizable Human Motion Generator with Reinforcement Learning\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2405.15541)\n\n- **SMD**: \"Shape Conditioned Human Motion Generation with Diffusion Model\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2405.06778)\n\n- **StableMoFusion**: \"StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation Framework\". `MM(2024)` [[URL]](https://arxiv.org/abs/2405.05691) [[Project Page]](https://h-y1heng.github.io/StableMoFusion-page/) [[Code]](https://github.com/Linketic/StableMoFusion)\n\n- **MotionPatches**: \"Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches\". `CVPR(2024)` [[URL]](https://arxiv.org/abs/2405.04771) [[Project Page]](https://yu1ut.com/MotionPatches-HP/) [[Code]](https://github.com/line/MotionPatches)\n\n- **MoDiPO**: \"MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2405.03803)\n\n- **LGTM**: \"LGTM: Local-to-Global Text-Driven Human Motion Diffusion Model\". `SIGGRAPH(2024)` [[URL]](https://arxiv.org/abs/2405.03485) [[Code]](https://github.com/L-Sun/LGTM)\n\n- **MLCT**: \"Efficient Text-driven Motion Generation via Latent Consistency Training\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2405.02791)\n\n- **SATO**: \"SATO: Stable Text-to-Motion Framework\". `MM(2024)` [[URL]](https://arxiv.org/abs/2405.01461) [[Project Page]](https://sato-team.github.io/Stable-Text-to-Motion-Framework/) [[Code]](https://github.com/sato-team/Stable-Text-to-Motion-Framework)\n\n- **MotionLCM**: \"MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model\". `ECCV(2024)` [[URL]](https://arxiv.org/abs/2404.19759) [[Project Page]](https://dai-wenxun.github.io/MotionLCM-page/) [[Code]](https://github.com/Dai-Wenxun/MotionLCM)\n\n- **TAAT**: \"You Think, You ACT: The New Task of Arbitrary Text to Motion Generation\". `ICCV(2025)` [[URL]](https://arxiv.org/abs/2404.14745)\n\n- **MCM**: \"MCM: Multi-condition Motion Synthesis Framework\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2404.12886)\n\n- **InstructMotion**: \"Exploring Text-to-Motion Generation with Human Preference\". `CVPR Workshop(2024)` [[URL]](https://arxiv.org/abs/2404.09445) [[Code]](https://github.com/THU-LYJ-Lab/InstructMotion)\n\n- **MotionChain**: \"MotionChain: Conversational Motion Controllers via Multimodal Prompts\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2404.01700)\n\n- **LMM**: \"Large Motion Model for Unified Multi-Modal Motion Generation\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2404.01284) [[Project Page]](https://mingyuan-zhang.github.io/projects/LMM.html) [[Code]](https://github.com/mingyuan-zhang/LMM)\n\n- **BAMM**: \"BAMM: Bidirectional Autoregressive Motion Model\". `ECCV(2024)` [[URL]](https://arxiv.org/abs/2403.19435) [[Project Page]](https://www.ekkasit.com/BAMM-page/) [[Code]](https://github.com/exitudio/BAMM/)\n\n- **ParCo**: \"ParCo: Part-Coordinating Text-to-Motion Synthesis\". `ECCV(2024)` [[URL]](https://arxiv.org/abs/2403.18512) [[Code]](https://github.com/qrzou/ParCo)\n\n- **CATMO**: \"Contact-aware Human Motion Generation from Textual Descriptions\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2403.15709) [[Project Page]](https://xymsh.github.io/RICH-CAT/)\n\n- **CoMo**: \"CoMo: Controllable Motion Generation through Language Guided Pose Code Editing\". `ECCV(2024)` [[URL]](https://arxiv.org/abs/2403.13900) [[Project Page]](https://yh2371.github.io/como/) [[Code]](https://github.com/yh2371/CoMo)\n\n- **AnySkill**: \"AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents\". `CVPR(2024)` [[URL]](https://arxiv.org/abs/2403.12835) [[Project Page]](https://anyskill.github.io/) [[Code]](https://github.com/jiemingcui/anyskill)\n\n- **MotionMamba**: \"Motion Mamba: Efficient and Long Sequence Motion Generation\". `ECCV(2024)` [[URL]](https://arxiv.org/abs/2403.07487) [[Project Page]](https://steve-zeyu-zhang.github.io/MotionMamba/)\n\n- **MMoFusion**: \"MMoFusion: Multi-modal Co-Speech Motion Generation with Diffusion Model\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2403.02905) [[Project Page]](https://mmofusion.github.io/) [[Code]](https://github.com/wangsen99/MMoFusion)\n\n- **FlowMDM**: \"Seamless Human Motion Composition with Blended Positional Encodings\". `CVPR(2024)` [[URL]](https://arxiv.org/abs/2402.15509) [[Project Page]](https://barquerogerman.github.io/FlowMDM/) [[Code]](https://github.com/BarqueroGerman/FlowMDM)\n\n- **LS-GAN**: \"LS-GAN: Human Motion Synthesis with Latent-space GANs\". `WACV(2025)` [[URL]](https://arxiv.org/abs/2501.01449) [[Code]](https://github.com/AmballaAvinash/motion-latent-diffusion)\n\n- **EnergyMoGen**: \"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space\". `CVPR(2025)` [[URL]](https://arxiv.org/abs/2412.14706) [[Project Page]](https://jiro-zhang.github.io/EnergyMoGen/)\n\n- **ScaMo**: \"ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model\". `CVPR(2025)` [[URL]](https://arxiv.org/abs/2412.14559) [[Project Page]](https://shunlinlu.github.io/ScaMo/) [[Code]](https://github.com/shunlinlu/ScaMo_code)\n\n- **Light-T2M**: \"Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation\". `AAAI(2025)` [[URL]](https://arxiv.org/abs/2412.11193) [[Code]](https://github.com/qinghuannn/light-t2m)\n\n- **LoM**: \"The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2412.10523) [[Project Page]](https://languageofmotion.github.io/) [[Code]](https://github.com/Juzezhang/language_of_motion)\n\n- **CoMA**: \"CoMA: Compositional Human Motion Generation with Multi-modal Agents\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2412.07320) [[Project Page]](https://gabrie-l.github.io/coma-page/) [[Code]](https://github.com/Siwensun/CoMA)\n\n- **SoPo**: \"SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2412.05095) [[Project Page]](https://xiaofeng-tan.github.io/projects/SoPo/) [[Code]](https://github.com/Xiaofeng-Tan/SoPO)\n\n- **RMD**: \"RMD: A Simple Baseline for More General Human Motion Generation via Training-free Retrieval-Augmented Motion Diffuse\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2412.04343)\n\n- **BiPO**: \"BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2412.00112)\n\n- **MoTE**: \"MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2411.19786)\n\n- **FTMoMamba**: \"FTMoMamba: Motion Generation with Frequency and Text State Space Models\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2411.17532)\n\n- **VersatileMotion**: \"VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2411.17335)\n\n- **MARDM**: \"Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression\". `CVPR(2025)` [[URL]](https://arxiv.org/abs/2411.16575) [[Project Page]](https://neu-vi.github.io/MARDM/) [[Code]](https://github.com/neu-vi/MARDM)\n\n- **Morph**: \"Morph: A Motion-free Physics Optimization Framework for Human Motion Generation\". `ICCV(2025)` [[URL]](https://arxiv.org/abs/2411.14951)\n\n- **KMM**: \"KMM: Key Frame Mask Mamba for Extended Motion Generation\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2411.06481) [[Project Page]](https://steve-zeyu-zhang.github.io/KMM/)\n\n- **TMT**: \"Text Motion Translator: A Bi-Directional Model for Enhanced 3D Human Motion Generation from Open-Vocabulary Descriptions\". `ECCV(2024)` [[URL]](https://eccv.ecva.net/virtual/2024/poster/266)\n\n- **M-Adaptor**: \"M-Adaptor: Text-driven Whole-body Human Motion Generation\". `CVPR Workshop(2025)` [[URL]](https://openaccess.thecvf.com/content/CVPR2025W/PVUW/html/Li_M-Adaptor_Text-driven_Whole-body_Human_Motion_Generation_CVPRW_2025_paper.html)\n\n- **MotionGPT-2**: \"MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2410.21747)\n\n- **MotionCLR**: \"Pay Attention and Move Better: Harnessing Attention for Interactive Motion Generation and Training-free Editing\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2410.18977) [[Project Page]](https://lhchen.top/MotionCLR/)\n\n- **LEAD**: \"LEAD: Latent Realignment for Human Motion Diffusion\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2410.14508)\n\n- **MaskControl**: \"MaskControl: Spatio-Temporal Control for Masked Motion Synthesis\". `ICCV(2025)` [[URL]](https://arxiv.org/abs/2410.10780) [[Project Page]](https://www.ekkasit.com/ControlMM-page/) [[Code]](https://github.com/exitudio/MaskControl/)\n\n- **ReinDiffuse**: \"ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model\". `WACV(2025)` [[URL]](https://arxiv.org/abs/2410.07296) [[Project Page]](https://reindiffuse.github.io/)\n\n- **LaMP**: \"LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning\". `ICLR(2025)` [[URL]](https://arxiv.org/abs/2410.07093) [[Project Page]](https://aigc3d.github.io/LaMP/) [[Code]](https://github.com/gentlefress/LaMP)\n\n- **MotionRL**: \"MotionRL: Align Text-to-Motion Generation to Human Preferences with Multi-Reward Reinforcement Learning\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2410.06513)\n\n- **VIM**: \"A Unified Framework for Motion Reasoning and Generation in Human Interaction\". `ICCV(2025)` [[URL]](https://arxiv.org/abs/2410.05628) [[Project Page]](https://vim-motion-language.github.io/)\n\n- **DART**: \"DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control\". `ICLR(2025)` [[URL]](https://arxiv.org/abs/2410.05260) [[Project Page]](https://zkf1997.github.io/DART/) [[Code]](https://github.com/zkf1997/DART)\n\n- **UniMuMo**: \"UniMuMo: Unified Text, Music and Motion Generation\". `arXiv(2024)` [[URL]](https://arxiv.org/abs/2410.04534) [[Project Page]](https://hanyangclarence.github.io/unimumo_demo/) [[Code]](https://github.com/hanyangclarence/UniMuMo)\n\n- **Being-M0**: \"Scaling Large Motion Models with Million-Level Human Motions\". `ICML(2025)` [[URL]](https://arxiv.org/abs/2410.03311) [[Project Page]](https://beingbeyond.github.io/Being-M0/) [[Code]](https://github.com/BeingBeyond/Being-M0)\n\n- **CLaM**: \"CLaM: An Open-Source Library for Performance Evaluation of Text-driven Human Motion Generation\". `MM(24)` [[URL]](https://dl.acm.org/doi/10.1145/3664647.3685523) [[Code]](https://github.com/SheldongChen/CLaM/)\n\n- **L3EM**: \"Towards Emotion-enriched Text-to-Motion Generation via LLM-guided Limb-level Emotion Manipulating\n\". `MM(2024)` [[URL]](https://dl.acm.org/doi/10.1145/3664647.3681487) [[Code]](https://github.com/aekx/L3EM)\n\n- **MotionMix**: \"MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation\". `AAAI(2024)` [[URL]](https://arxiv.org/abs/2401.11115) [[Project Page]](https://nhathoang2002.github.io/MotionMix-page/) [[Code]](https://github.com/NhatHoang2002/MotionMix)\n\n- **STMC**: \"Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation\". `CVPR Workshop(2024)` [[URL]](https://arxiv.org/abs/2401.08559) [[Project Page]](https://mathis.petrovich.fr/stmc/) [[Code]](https://github.com/nv-tlabs/stmc)\n\n- **GUESS**: \"GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation\". `TVCG(2024)` [[URL]](https://arxiv.org/abs/2401.02142) [[Code]](https://github.com/Xuehao-Gao/GUESS)\n\n- **Fg-T2M**: \"Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model\". `ICCV(2023)` [[URL]](https://arxiv.org/abs/2309.06284)\n\n- **AttT2M**: \"AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism\". `ICCV(2023)` [[URL]](https://arxiv.org/abs/2309.00796) [[Code]](https://github.com/ZcyMonkey/AttT2M)\n\n- **M2DM**: \"Priority-Centric Human Motion Generation in Discrete Latent Space\". `ICCV(2023)` [[URL]](https://arxiv.org/abs/2308.14480)\n\n- **ATOM**: \"Language-guided Human Motion Synthesis with Atomic Actions\". `MM(2023)` [[URL]](https://arxiv.org/abs/2308.09611) [[Code]](https://github.com/yhZhai/ATOM)\n\n- **MotionGPT**: \"MotionGPT: Human Motion as a Foreign Language\". `NeurIPS(2023)` [[URL]](https://arxiv.org/abs/2306.14795) [[Project Page]](https://motion-gpt.github.io/) [[Code]](https://github.com/OpenMotionLab/MotionGPT)\n\n- **MotionGPT**: \"MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators\". `AAAI(2024)` [[URL]](https://arxiv.org/abs/2306.10900) [[Project Page]](https://qiqiapink.github.io/MotionGPT/) [[Code]](https://github.com/qiqiApink/MotionGPT)\n\n- **DiffKFC**: \"Enhanced Fine-grained Motion Diffusion for Text-driven Human Motion Synthesis\". `AAAI(2024)` [[URL]](https://arxiv.org/abs/2305.13773)\n\n- **GMD**: \"Guided Motion Diffusion for Controllable Human Motion Synthesis\". `ICCV(2023)` [[URL]](https://arxiv.org/abs/2305.12577) [[Project Page]](https://korrawe.github.io/gmd-project/) [[Code]](https://github.com/korrawe/guided-motion-diffusion)\n\n- **MAA**: \"Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation\". `ICCV(2023)` [[URL]](https://arxiv.org/abs/2305.09662) [[Project Page]](https://azadis.github.io/make-an-animation/)\n\n- **AMD**: \"AMD: Autoregressive Motion Diffusion\". `AAAI(2024)` [[URL]](https://arxiv.org/abs/2305.09381) [[Code]](https://github.com/fluide1022/AMD)\n\n- **TMR**: \"TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis\". `ICCV(2023)` [[URL]](https://arxiv.org/abs/2305.00976) [[Project Page]](https://mathis.petrovich.fr/tmr/) [[Code]](https://github.com/Mathux/TMR)\n\n- **TM2D**: \"TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration\". `ICCV(2023)` [[URL]](https://arxiv.org/abs/2304.02419) [[Project Page]](https://garfield-kh.github.io/TM2D/) [[Code]](https://github.com/Garfield-kh/TM2D)\n\n- **ReMoDiffuse**: \"ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model\". `ICCV(2023)` [[URL]](https://arxiv.org/abs/2304.01116) [[Project Page]](https://mingyuan-zhang.github.io/projects/ReMoDiffuse.html) [[Code]](https://github.com/mingyuan-zhang/ReMoDiffuse)\n\n- **priorMDM**: \"Human Motion Diffusion as a Generative Prior\". `ICLR(2024)` [[URL]](https://arxiv.org/abs/2303.01418) [[Project Page]](https://priormdm.github.io/priorMDM-page/) [[Code]](https://github.com/priorMDM/priorMDM)\n\n- **InsActor**: \"InsActor: Instruction-driven Physics-based Characters\". `NeurIPS(2023)` [[URL]](https://arxiv.org/abs/2312.17135) [[Project Page]](https://jiawei-ren.github.io/projects/insactor/) [[Code]](https://github.com/jiawei-ren/insactor)\n\n- **FineMoGen**: \"FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing\". `NeurIPS(2023)` [[URL]](https://arxiv.org/abs/2312.15004) [[Project Page]](https://mingyuan-zhang.github.io/projects/FineMoGen.html) [[Code]](https://github.com/mingyuan-zhang/FineMoGen)\n\n- **PRO-Motion**: \"Plan, Posture and Go: Towards Open-World Text-to-Motion Generation\". `ECCV(2024)` [[URL]](https://arxiv.org/abs/2312.14828) [[Project Page]](https://moonsliu.github.io/Pro-Motion/)\n\n- **IterativeEditing**: \"Iterative Motion Editing with Natural Language\". `SIGGRAPH(2024)` [[URL]](https://arxiv.org/abs/2312.11538) [[Project Page]](https://purvigoel.github.io/iterative-motion-editing/) [[Code]](https://github.com/purvigoel/iterative-editing-release)\n\n- **CrossDiff**: \"Realistic Human Motion Generation with Cross-Diffusion Models\". `ECCV(2024)` [[URL]](https://arxiv.org/abs/2312.10993) [[Project Page]](https://wonderno.github.io/CrossDiff-webpage/) [[Code]](https://github.com/wonderNo/crossdiff)\n\n- **B2A-HDM**: \"Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model\". `AAAI(2024)` [[URL]](https://arxiv.org/abs/2312.10960)\n\n- **OMG**: \"OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers\". `CVPR(2024)` [[URL]](https://arxiv.org/abs/2312.08985) [[Project Page]](https://tr3e.github.io/omg-page/)\n\n- **MMM**: \"MMM: Generative Masked Motion Model\". `CVPR(2024)` [[URL]](https://arxiv.org/abs/2312.03596) [[Project Page]](https://www.ekkasit.com/MMM-page/) [[Code]](https://github.com/exitudio/MMM/)\n\n- **EMDM**: \"EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation\". `ECCV(2024)` [[URL]](https://arxiv.org/abs/2312.02256) [[Project Page]](https://frank-zy-dou.github.io/projects/EMDM/index.html) [[Code]](https://github.com/Frank-ZY-Dou/EMDM)\n\n- **MoMask**: \"MoMask: Generative Masked Modeling of 3D Human Motions\". `CVPR(2024)` [[URL]](https://arxiv.org/abs/2312.00063) [[Project Page]](https://ericguo5513.github.io/momask/) [[Code]](https://github.com/EricGuo5513/momask-codes)\n\n- **TLControl**: \"TLControl: Trajectory and Language Control for Human Motion Synthesis\". `arXiv(2023)` [[URL]](https://arxiv.org/abs/2311.17135) [[Code]](https://github.com/HiWilliamWWL/TLControl)\n\n- **UDE-2**: \"A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis\". `arXiv(2023)` [[URL]](https://arxiv.org/abs/2311.16471) [[Project Page]](https://zixiangzhou916.github.io/UDE-2/) [[Code]](https://github.com/zixiangzhou916/UDE-2)\n\n- **GraphMotion**: \"Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs\". `NeurIPS(2023)` [[URL]](https://arxiv.org/abs/2311.01015) [[Code]](https://github.com/jpthu17/GraphMotion)\n\n- **HumanTOMATO**: \"HumanTOMATO: Text-aligned Whole-body Motion Generation\". `ICML(2024)` [[URL]](https://arxiv.org/abs/2310.12978) [[Project Page]](https://lhchen.top/HumanTOMATO/) [[Code]](https://github.com/IDEA-Research/HumanTOMATO)\n\n- **MoConVQ**: \"MoConVQ: Unified Physics-Based Motion Control via Scalable Discrete Representations\". `SIGGRAPH(2024)` [[URL]](https://arxiv.org/abs/2310.10198) [[Project Page]](https://moconvq.github.io/) [[Code]](https://github.com/heyuanYao-pku/MoConVQ)\n\n- **KP**: \"Bridging the Gap between Human Motion and Action Semantics via Kinematic Phrases\". `ECCV(2024)` [[URL]](https://arxiv.org/abs/2310.04189) [[Project Page]](https://foruck.github.io/KP/) [[Code]](https://github.com/Foruck/Kinematic-Phrases)\n\n- **T2M-GPT**: \"T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations\". `CVPR(2023)` [[URL]](https://arxiv.org/abs/2301.06052) [[Project Page]](https://mael-zys.github.io/T2M-GPT/) [[Code]](https://github.com/Mael-zys/T2M-GPT)\n\n- **Modiff**: \"Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models\". `arXiv(2023)` [[URL]](https://arxiv.org/abs/2301.03949)\n\n- **MDM**: \"Human Motion Diffusion Model\". `ICLR(2023)` [[URL]](https://arxiv.org/abs/2209.14916) [[Project Page]](https://guytevet.github.io/mdm-page/) [[Code]](https://github.com/GuyTevet/motion-diffusion-model)\n\n- **TEACH**: \"TEACH: Temporal Action Composition for 3D Humans\". `3DV(2022)` [[URL]](https://arxiv.org/abs/2209.04066) [[Project Page]](https://teach.is.tue.mpg.de/) [[Code]](https://github.com/atnikos/teach)\n\n- **FLAME**: \"FLAME: Free-form Language-based Motion Synthesis \u0026 Editing\". `AAAI(2023)` [[URL]](https://arxiv.org/abs/2209.00349) [[Project Page]](https://kakaobrain.github.io/flame/) [[Code]](https://github.com/kakaobrain/flame)\n\n- **MotionDiffuse**: \"MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model\". `TPAMI(2024)` [[URL]](https://arxiv.org/abs/2208.15001) [[Project Page]](https://mingyuan-zhang.github.io/projects/MotionDiffuse.html) [[Code]](https://github.com/mingyuan-zhang/MotionDiffuse)\n\n- **TM2T**: \"TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts\". `ECCV(2022)` [[URL]](https://arxiv.org/abs/2207.01696) [[Project Page]](https://ericguo5513.github.io/TM2T/) [[Code]](https://github.com/EricGuo5513/TM2T)\n\n- **T2M**: \"Generating Diverse and Natural 3D Human Motions from Text\". `CVPR(2022)` [[URL]](https://openaccess.thecvf.com/content/CVPR2022/papers/Guo_Generating_Diverse_and_Natural_3D_Human_Motions_From_Text_CVPR_2022_paper.pdf) [[Project Page]](https://ericguo5513.github.io/text-to-motion/) [[Code]](https://github.com/EricGuo5513/text-to-motion)\n\n- **AvatarCLIP**: \"AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars\". `SIGGRAPH(2022)` [[URL]](https://arxiv.org/abs/2205.08535) [[Project Page]](https://hongfz16.github.io/projects/AvatarCLIP.html) [[Code]](https://github.com/hongfz16/AvatarCLIP)\n\n- **TEMOS**: \"TEMOS: Generating diverse human motions from textual descriptions\". `ECCV(2022)` [[URL]](https://arxiv.org/abs/2204.14109) [[Project Page]](https://mathis.petrovich.fr/temos/) [[Code]](https://github.com/Mathux/TEMOS)\n\n- **ImplicitMotion**: \"Implicit Neural Representations for Variable Length Human Motion Generation\". `ECCV(2022)` [[URL]](https://arxiv.org/abs/2203.13694) [[Code]](https://github.com/PACerv/ImplicitMotion)\n\n- **MotionCLIP**: \"MotionCLIP: Exposing Human Motion Generation to CLIP Space\". `ECCV(2022)` [[URL]](https://arxiv.org/abs/2203.08063) [[Project Page]](https://guytevet.github.io/motionclip-page/) [[Code]](https://github.com/GuyTevet/MotionCLIP)\n\n- **MultiAct**: \"MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels\". `AAAI(2023)` [[URL]](https://arxiv.org/abs/2212.05897) [[Code]](https://github.com/TaeryungLee/MultiAct_RELEASE)\n\n- **MoFusion**: \"MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis\". `CVPR(2023)` [[URL]](https://arxiv.org/abs/2212.04495) [[Project Page]](https://vcai.mpi-inf.mpg.de/projects/MoFusion/)\n\n- **MLD**: \"Executing your Commands via Motion Diffusion in Latent Space\". `CVPR(2023)` [[URL]](https://arxiv.org/abs/2212.04048) [[Project Page]](https://chenxin.tech/mld/) [[Code]](https://github.com/chenfengye/motion-latent-diffusion)\n\n- **PhysDiff**: \"PhysDiff: Physics-Guided Human Motion Diffusion Model\". `ICCV(2023)` [[URL]](https://arxiv.org/abs/2212.02500) [[Project Page]](https://nvlabs.github.io/PhysDiff/)\n\n- **UDE**: \"UDE: A Unified Driving Engine for Human Motion Generation\". `CVPR(2023)` [[URL]](https://arxiv.org/abs/2211.16016) [[Project Page]](https://zixiangzhou916.github.io/UDE/) [[Code]](https://github.com/zixiangzhou916/UDE/)\n\n- **Action-GPT**: \"Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Action Generation\". `ICME(2023)` [[URL]](https://arxiv.org/abs/2211.15603) [[Project Page]](https://actiongpt.github.io/) [[Code]](https://github.com/actiongpt/actiongpt)\n\n- **OOHMG**: \"Being Comes from Not-being: Open-vocabulary Text-to-Motion Generation with Wordless Training\". `arXiv(2022)` [[URL]](https://arxiv.org/abs/2210.15929) [[Code]](https://github.com/junfanlin/oohmg)\n\n- **ACTOR**: \"Action-Conditioned 3D Human Motion Synthesis with Transformer VAE\". `ICCV(2021)` [[URL]](https://arxiv.org/abs/2104.05670) [[Project Page]](https://mathis.petrovich.fr/actor/) [[Code]](https://github.com/Mathux/ACTOR)\n\n- **Action2Motion**: \"Action2Motion: Conditioned Generation of 3D Human Motions\". `MM(2020)` [[URL]](https://arxiv.org/abs/2007.15240) [[Project Page]](https://ericguo5513.github.io/action-to-motion/) [[Code]](https://github.com/EricGuo5513/action-to-motion)\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzilize%2Fawesome-text-to-motion","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzilize%2Fawesome-text-to-motion","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzilize%2Fawesome-text-to-motion/lists"}