Datasets:

Modalities:
Text
Formats:
text
ArXiv:
Libraries:
Datasets
License:
lxxiao commited on
Commit
65a157f
·
verified ·
1 Parent(s): b21a37d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -2
README.md CHANGED
@@ -11,12 +11,12 @@ To facilitate researchers, we provide the processed 272-dim Motion Representatio
11
  For more details of how to obtain the 272-dim motion representation, as well as other useful tools (e.g., Visualization and Conversion to BVH format), please refer to our [GitHub repo](https://github.com/Li-xingXiao/272-dim-Motion-Representation).
12
 
13
  ## 🌹 Acknowledgement
14
- This repository builds upon the following awesome open-source projects:
15
  - [AMASS](https://amass.is.tue.mpg.de/index.html)
16
  - [HumanML3D](https://github.com/EricGuo5513/HumanML3D)
17
 
18
  ## 🤝🏼 Citation
19
- If our data is helpful for your research, please consider citing :
20
  ```
21
  @article{xiao2025motionstreamer,
22
  title={MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space},
 
11
  For more details of how to obtain the 272-dim motion representation, as well as other useful tools (e.g., Visualization and Conversion to BVH format), please refer to our [GitHub repo](https://github.com/Li-xingXiao/272-dim-Motion-Representation).
12
 
13
  ## 🌹 Acknowledgement
14
+ This repository builds upon the following awesome open-source datasets and projects:
15
  - [AMASS](https://amass.is.tue.mpg.de/index.html)
16
  - [HumanML3D](https://github.com/EricGuo5513/HumanML3D)
17
 
18
  ## 🤝🏼 Citation
19
+ If our project is helpful for your research, please consider citing :
20
  ```
21
  @article{xiao2025motionstreamer,
22
  title={MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space},