Comments (2)
TheTempAccount
commented on August 23, 2024
You can use OpenPose or AlphaPose to get the body keypoints in OpenPose format. To generate the figure in the middle you need to train a rendering model such as Vid2Vid.
from co-speech-motion-generation.
Olivia-Ye
commented on August 23, 2024
Thanks for your reply.
I still have a question that whether it is possible to apply the pretrained model you have provided to Chinese speeches. It’s a significant issue which decided the points of the following work that I plan to do .
Can you set up a discussion group for the discussants to help everyone solve problems?
from co-speech-motion-generation.
Related Issues (20)
- 在复现这个项目的过程中，我遇到了很多问题无法解决。 HOT 3
- 预训练模型
- TextGrid文件
- TextGrid由来 HOT 6
- Visualise the generated motions时的异常 HOT 2
- Speech2Gesturedataset应用 HOT 1
- 可视化openpose关键点请问是怎么定义的呢？ HOT 2
- 关于生成时间 HOT 1
- TextGrid
- 关于vid2vid训练进行手势可视化，我有一些问题需要您的帮助。
- How are the `checker_stats` in `checker.py` calculated?
- How to create my custom dataset?
- 请问如何运行Demo.sh后生成的json数据如何绘制出来？
- What is the requirements?Can you upload a requirements.txt?
- about running on cpu
- About exp_name parameter
- Error in readme.md
- Does it predict Facial Keypoints too?
- Can you share the documentation of this project and the paper/article?
- [Question]Does the data you open for download include the complete Ted Gesture data set?
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