# awesome-text-to-motion Text-driven human motion generation surveys, datasets and models, focusing on single-person scenarios without human-object/scene interaction. Please refer to the [project page](https://zilize.github.io/awesome-text-to-motion/) for a better browsing experience with interactive visualizations and statistical charts.

Contribution Guide (Click to expand)

--- We welcome contributions to make this repository more comprehensive and up-to-date! ### How to Contribute 1. **Fork this repository** to your GitHub account 2. **Create a new branch** for your contribution 3. **Add your papers** following the guidelines below 4. **Submit a Pull Request** with a clear description of your changes ### Adding Papers #### For Papers with arXiv IDs: - **File**: \`data/arxiv.csv\` - **Format**: Add a new row with the following columns: - \`arxiv_id\`: The arXiv ID (e.g., "2507.05419") - \`survey\`: "1" if it's a survey paper, "0" otherwise - \`survey_abbr\`: Abbreviation for survey papers (e.g., "Survey2507") - \`model\`: "1" if it's a model paper, "0" otherwise - \`model_abbr\`: Abbreviation for model papers (e.g., "MotionGen") - \`dataset\`: "1" if it's a dataset paper, "0" otherwise - \`dataset_abbr\`: Abbreviation for dataset papers (e.g., "MotionX") - \`submission\`: Conference/journal name (e.g., "CVPR") - \`submission_year\`: Year of submission (e.g., "2025") - \`page\`: Project page URL (if available) - \`repo\`: GitHub repository URL (if available) - \`backbone_tags\`: Comma-separated backbone tags (e.g., "Transformer, Diffusion") - \`approach_tags\`: Comma-separated approach tags (e.g., "Physical, Editing") #### For Papers without arXiv IDs: - **File**: \`data/without-arxiv.json\` - **Format**: Add a new JSON object with the following structure: \`\`\`json \{ "arxiv_id": "random-key-for-your-interest", "title": "Paper Title", "abstract": "Paper abstract...", "authors": ["Author 1", "Author 2"], "year": 2025, "month": 7, "url": "https://paper-url.com", "survey": false, "survey_abbr": "", "model": true, "model_abbr": "ModelName", "dataset": false, "dataset_abbr": "", "submission": "Conference", "submission_year": "2025", "page": "https://project-page.com", "repo": "https://github.com/user_name/repo", "backbone_tags": "Transformer, Diffusion", "approach_tags": "Physical, Editing" \} \`\`\` Thank you for contributing to the awesome-text-to-motion collection! ---

## Contents - [Surveys](#surveys) - [Datasets](#datasets) - [Models](#models) ## Surveys - "Motion Generation: A Survey of Generative Approaches and Benchmarks". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2507.05419) - "Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2506.03191) - "Text-driven Motion Generation: Overview, Challenges and Directions". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2505.09379) - "Human Motion Generation: A Survey". \`TPAMI(2023)\` [[URL]](https://arxiv.org/abs/2307.10894) ## Datasets - **UniMo4D**: "X-MoGen: Unified Motion Generation across Humans and Animals". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2508.05162) - **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) - **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) - **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) - **HumanAttr**: "Generating Attribute-Aware Human Motions from Textual Prompt". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2506.21912) - **GBC-100K**: "From Motion to Behavior: Hierarchical Modeling of Humanoid Generative Behavior Control". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2506.00043) - **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/) - **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) - **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/) - **Motion-X++**: "Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion Dataset". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2501.05098) - **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) - **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/) - **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) - **PaM**: "MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2405.03803) - **HumanML3D++**: "You Think, You ACT: The New Task of Arbitrary Text to Motion Generation". \`ICCV(2025)\` [[URL]](https://arxiv.org/abs/2404.14745) - **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) - **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/) - **FineHumanML3D**: "Motion Generation from Fine-grained Textual Descriptions". \`LREC-COLING(2024)\` [[URL]](https://arxiv.org/abs/2403.13518) [[Code]](https://github.com/KunhangL/finemotiondiffuse) - **BlindWays**: "Text to Blind Motion". \`NeurIPS(2024)\` [[URL]](https://arxiv.org/abs/2412.05277) [[Project Page]](https://blindways.github.io/) - **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) - **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/) - **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) - **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/) - **Limb-ET2M**: "Towards Emotion-enriched Text-to-Motion Generation via LLM-guided Limb-level Emotion Manipulating ". \`MM(2024)\` [[URL]](https://dl.acm.org/doi/10.1145/3664647.3681487) [[Code]](https://github.com/aekx/L3EM) - **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) - **HumanLong3D**: "AMD: Autoregressive Motion Diffusion". \`AAAI(2024)\` [[URL]](https://arxiv.org/abs/2305.09381) [[Code]](https://github.com/fluide1022/AMD) - **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) - **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) - **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/) ## Models - **X-MoGen**: "X-MoGen: Unified Motion Generation across Humans and Animals". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2508.05162) - **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) - **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/) - **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) - **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) - **MOST**: "MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2507.06590) - **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) - **AttrMoGen**: "Generating Attribute-Aware Human Motions from Textual Prompt". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2506.21912) - **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) - **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) - **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) - **PHYLOMAN**: "From Motion to Behavior: Hierarchical Modeling of Humanoid Generative Behavior Control". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2506.00043) - **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) - **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) - **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/) - **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/) - **DSDFM**: "Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis". \`CVPR(2025)\` [[URL]](https://arxiv.org/abs/2505.00998) - **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/) - **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) - **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) - **FlowMotion**: "FlowMotion: Target-Predictive Conditional Flow Matching for Jitter-Reduced Text-Driven Human Motion Generation". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2504.01338) - **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) - **ReMoGPT**: "ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models". \`AAAI(2025)\` [[URL]](https://ojs.aaai.org/index.php/AAAI/article/view/33044) - **UniTMGE**: "UniTMGE: Uniform Text-Motion Generation and Editing Model via Diffusion". \`WACV(2025)\` [[URL]](https://ieeexplore.ieee.org/document/10943808) - **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/) - **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) - **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) - **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) - **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/) - **GenM3**: "GenM$^3$: Generative Pretrained Multi-path Motion Model for Text Conditional Human Motion Generation". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2503.14919) - **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) - **sMDM**: "Less is More: Improving Motion Diffusion Models with Sparse Keyframes". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2503.13859) - **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) - **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) - **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) - **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/) - **BioVAE**: "Biomechanics-Guided Residual Approach to Generalizable Human Motion Generation and Estimation". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2503.06151) - **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) - **Fg-T2M++**: "Fg-T2M++: LLMs-Augmented Fine-Grained Text Driven Human Motion Generation". \`IJCV(2025)\` [[URL]](https://arxiv.org/abs/2502.05534) - **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) - **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) - **SPORT**: "SPORT: From Zero-shot Prompts to Real-time Motion Generation". \`TVCG(2025)\` [[URL]](https://ieeexplore.ieee.org/document/10891181/) - **MotionPCM**: "MotionPCM: Real-Time Motion Synthesis with Phased Consistency Model". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2501.19083) - **Free-T2M**: "Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency Loss". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2501.18232) - **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) - **PackDiT**: "PackDiT: Joint Human Motion and Text Generation via Mutual Prompting". \`arXiv(2025)\` [[URL]](https://arxiv.org/abs/2501.16551) - **MMDM**: "Text-driven Human Motion Generation with Motion Masked Diffusion Model". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2409.19686) - **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) - **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) - **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) - **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) - **T2M-X**: "T2M-X: Learning Expressive Text-to-Motion Generation from Partially Annotated Data". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2409.13251) - **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) - **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/) - **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/) - **TextIM**: "TextIM: Part-aware Interactive Motion Synthesis from Text". \`EUROGRAPHICS(2025)\` [[URL]](https://arxiv.org/abs/2408.03302) - **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) - **ALERT-Motion**: "Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion". \`AAAI(2025)\` [[URL]](https://arxiv.org/abs/2408.00352) - **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) - **M2D2M**: "M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models". \`ECCV(2024)\` [[URL]](https://arxiv.org/abs/2407.14502) - **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) - **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/) - **SuperPADL**: "SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2407.10481) - **InfiniMotion**: "InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2407.10061) - **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/) - **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) - **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) - **T2LM**: "T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences". \`CVPR Workshop(2024)\` [[URL]](https://arxiv.org/abs/2406.00636) - **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) - **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) - **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) - **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) - **InstructMotion**: "Learning Generalizable Human Motion Generator with Reinforcement Learning". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2405.15541) - **SMD**: "Shape Conditioned Human Motion Generation with Diffusion Model". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2405.06778) - **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) - **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) - **MoDiPO**: "MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2405.03803) - **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) - **MLCT**: "Efficient Text-driven Motion Generation via Latent Consistency Training". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2405.02791) - **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) - **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) - **TAAT**: "You Think, You ACT: The New Task of Arbitrary Text to Motion Generation". \`ICCV(2025)\` [[URL]](https://arxiv.org/abs/2404.14745) - **MCM**: "MCM: Multi-condition Motion Synthesis Framework". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2404.12886) - **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) - **MotionChain**: "MotionChain: Conversational Motion Controllers via Multimodal Prompts". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2404.01700) - **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) - **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/) - **ParCo**: "ParCo: Part-Coordinating Text-to-Motion Synthesis". \`ECCV(2024)\` [[URL]](https://arxiv.org/abs/2403.18512) [[Code]](https://github.com/qrzou/ParCo) - **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/) - **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) - **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) - **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/) - **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) - **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) - **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) - **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/) - **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) - **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) - **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) - **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) - **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) - **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) - **BiPO**: "BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2412.00112) - **MoTE**: "MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2411.19786) - **FTMoMamba**: "FTMoMamba: Motion Generation with Frequency and Text State Space Models". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2411.17532) - **VersatileMotion**: "VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2411.17335) - **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) - **Morph**: "Morph: A Motion-free Physics Optimization Framework for Human Motion Generation". \`ICCV(2025)\` [[URL]](https://arxiv.org/abs/2411.14951) - **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/) - **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) - **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) - **MotionGPT-2**: "MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2410.21747) - **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/) - **LEAD**: "LEAD: Latent Realignment for Human Motion Diffusion". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2410.14508) - **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/) - **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/) - **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) - **MotionRL**: "MotionRL: Align Text-to-Motion Generation to Human Preferences with Multi-Reward Reinforcement Learning". \`arXiv(2024)\` [[URL]](https://arxiv.org/abs/2410.06513) - **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/) - **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) - **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) - **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) - **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/) - **L3EM**: "Towards Emotion-enriched Text-to-Motion Generation via LLM-guided Limb-level Emotion Manipulating ". \`MM(2024)\` [[URL]](https://dl.acm.org/doi/10.1145/3664647.3681487) [[Code]](https://github.com/aekx/L3EM) - **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) - **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) - **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) - **Fg-T2M**: "Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model". \`ICCV(2023)\` [[URL]](https://arxiv.org/abs/2309.06284) - **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) - **M2DM**: "Priority-Centric Human Motion Generation in Discrete Latent Space". \`ICCV(2023)\` [[URL]](https://arxiv.org/abs/2308.14480) - **ATOM**: "Language-guided Human Motion Synthesis with Atomic Actions". \`MM(2023)\` [[URL]](https://arxiv.org/abs/2308.09611) [[Code]](https://github.com/yhZhai/ATOM) - **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) - **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) - **DiffKFC**: "Enhanced Fine-grained Motion Diffusion for Text-driven Human Motion Synthesis". \`AAAI(2024)\` [[URL]](https://arxiv.org/abs/2305.13773) - **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) - **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/) - **AMD**: "AMD: Autoregressive Motion Diffusion". \`AAAI(2024)\` [[URL]](https://arxiv.org/abs/2305.09381) [[Code]](https://github.com/fluide1022/AMD) - **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) - **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) - **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) - **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) - **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) - **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) - **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/) - **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) - **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) - **B2A-HDM**: "Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model". \`AAAI(2024)\` [[URL]](https://arxiv.org/abs/2312.10960) - **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/) - **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/) - **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) - **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) - **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) - **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) - **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) - **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) - **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) - **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) - **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) - **Modiff**: "Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models". \`arXiv(2023)\` [[URL]](https://arxiv.org/abs/2301.03949) - **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) - **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) - **FLAME**: "FLAME: Free-form Language-based Motion Synthesis & Editing". \`AAAI(2023)\` [[URL]](https://arxiv.org/abs/2209.00349) [[Project Page]](https://kakaobrain.github.io/flame/) [[Code]](https://github.com/kakaobrain/flame) - **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) - **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) - **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) - **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) - **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) - **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) - **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) - **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) - **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/) - **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) - **PhysDiff**: "PhysDiff: Physics-Guided Human Motion Diffusion Model". \`ICCV(2023)\` [[URL]](https://arxiv.org/abs/2212.02500) [[Project Page]](https://nvlabs.github.io/PhysDiff/) - **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/) - **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) - **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) - **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) - **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)