| Motion Anything: Any to Motion Generation | ✓ Link | 0.028 | 0.829 | 9.521 | 2.705 | Motion Anything | 2025-03-10 |
| MotionPCM: Real-Time Motion Synthesis with Phased Consistency Model | | 0.030 | 0.842 | 9.575 | 1.714 | MotionPCM | 2025-01-31 |
| BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis | | 0.030 | 0.809 | 9.556 | 1.374 | BiPO | 2024-11-28 |
| DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding | | 0.032 | 0.809 | | 1.288 | DisCoRD (+MoMask) | 2024-11-29 |
| MoMask: Generative Masked Modeling of 3D Human Motions | ✓ Link | 0.045 | 0.807 | | 1.241 | MoMask | 2023-11-29 |
| BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation | ✓ Link | 0.049 | 0.800 | 9.688 | 1.119 | BAD (CBS) | 2024-09-17 |
| Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency Loss | ✓ Link | 0.051 | 0.803 | 9.480 | | Free-T2M (StableMoFusion) | 2025-01-30 |
| MCM: Multi-condition Motion Synthesis Framework | ✓ Link | 0.053 | 0.788 | 9.585 | 0.8104 | MCM | 2024-04-19 |
| BAMM: Bidirectional Autoregressive Motion Model | ✓ Link | 0.055 | 0.814 | 9.717 | 1.687 | BAMM | 2024-03-28 |
| BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation | ✓ Link | 0.065 | 0.808 | 9.694 | 1.194 | BAD (OAAS) | 2024-09-17 |
| DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion | | 0.070 | 0.783 | 9.551 | 2.062 | DiverseMotion (s=1) | 2023-09-04 |
| DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion | | 0.072 | 0.802 | 9.683 | 1.869 | DiverseMotion (s=2) | 2023-09-04 |
| MMM: Generative Masked Motion Model | ✓ Link | 0.080 | 0.794 | 9.411 | 1.164 | MMM (predict length) | 2023-12-06 |
| MMM: Generative Masked Motion Model | ✓ Link | 0.089 | 0.804 | 9.577 | 1.226 | MMM (gt length) | 2023-12-06 |
| ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model | ✓ Link | 0.103 | 0.795 | 9.018 | 1.795 | ReMoDiffuse | 2023-04-03 |
| ParCo: Part-Coordinating Text-to-Motion Synthesis | ✓ Link | 0.109 | 0.801 | 9.576 | 1.382 | ParCo | 2024-03-27 |
| GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation | ✓ Link | 0.109 | 0.787 | 9.826 | 2.430 | GUESS | 2024-01-04 |
| AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism | ✓ Link | 0.112 | 0.786 | 9.700 | 2.452 | AttT2M | 2023-09-02 |
| EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation | ✓ Link | 0.112 | 0.786 | 9.551 | 1.641 | EMDM | 2023-12-04 |
| Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs | ✓ Link | 0.116 | 0.785 | 9.692 | 2.766 | GraphMotion | 2023-09-21 |
| T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations | ✓ Link | 0.116 | 0.775 | 9.761 | 1.856 | T2M-GPT (τ = 0.5) | 2023-01-15 |
| T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations | ✓ Link | 0.140 | 0.685 | 9.844 | 3.285 | T2M-GPT (τ = 0) | 2023-01-15 |
| T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations | ✓ Link | 0.141 | 0.775 | 9.722 | 1.831 | T2M-GPT (τ ∈ U[0, 1]) | 2023-01-15 |
| FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing | ✓ Link | 0.151 | 0.784 | 9.263 | 2.696 | FineMoGen | 2023-12-22 |
| Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model | | 0.243 | 0.783 | 9.278 | 1.614 | Fg-T2M | 2023-09-12 |
| Motion Mamba: Efficient and Long Sequence Motion Generation | ✓ Link | 0.281 | 0.792 | 9.871 | 2.294 | Motion Mamba | 2024-03-12 |
| MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model | ✓ Link | 0.304 | 0.798 | 9.607 | 2.259 | MotionLCM (4-step) | 2024-04-30 |
| Executing your Commands via Motion Diffusion in Latent Space | ✓ Link | 0.473 | 0.772 | 9.724 | 2.413 | MLD | 2022-12-08 |
| Human Motion Diffusion Model | ✓ Link | 0.544 | 0.611 | 9.559 | 2.799 | MDM | 2022-09-29 |
| MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model | ✓ Link | 0.630 | 0.782 | 9.410 | 1.553 | MotionDiffuse | 2022-08-31 |
| Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation | | 0.774 | 0.676 | 8.23 | | MAA | 2023-05-16 |
| TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration | ✓ Link | 1.021 | | 9.513 | 4.139 | TM2D (t2m) | 2023-04-05 |
| Generating Diverse and Natural 3D Human Motions From Text | ✓ Link | 1.087 | 0.736 | 9.175 | 2.219 | T2M | 2022-01-01 |
| TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts | ✓ Link | 1.501 | 0.729 | 8.589 | 2.424 | TM2T | 2022-07-04 |
| TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts | ✓ Link | 5.012 | 0.345 | 6.409 | | Text2Gesture | 2022-07-04 |
| Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model | | 10.21 | 0.735 | 23.692 | | Diffuion Motion | 2022-10-22 |
| TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts | ✓ Link | 11.02 | 0.486 | 7.676 | | Language2Pose | 2022-07-04 |