facebookresearch / facebookresearch/ScaDiver
Reproducing Results from the Paper
- Dominant language
- Python
- Stars
- 165
- Forks
- 19
- PR merge metrics
- No merged PRs in 30d
Description
Hi
I have a couple of questions regarding implementation:
1. Can you elaborate on how you removed the motions containing interactions from CMU in a semi-automatic manner as stated in the paper?
2. What were the parameters you used to generate the motion graph (e.g., delta, blend-time, etc.)?
3. How did you find the "offset based on the minimum height for the contact points in each motion"?
Would you be able to provide the data (motion sequences) that you used for training the control policies? Since the generation of the motion sequences from the motion graph is non-deterministic and without knowledge of the hyperparameters, it makes it hard to reproduce the results reported in the paper.
Many thanks for your help.
Contributor guide
Research direction
Start by reviewing the repository's Python implementation and the paper sections covering CMU motion filtering, motion-graph generation, contact-point offsets, and control-policy training. The issue is done when the requested parameters, processing method, and training motion sequences are documented or provided, with enough detail to reproduce the reported results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-graphics, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100