Comments (6)
The result seems abnormal. How about sampling more results? Do all results have such behavior?
from humanise.
Here is one of my results generated with this scene.
from humanise.
Thanks a lot. I found that this was because I set the wrong Action-Specific Model path. When I fixed this error, the avatar's actions became normal.
By the way, when I test the 'sit' model, I generate 10 samples, but none of them sit in the right position. Is this normal?
from humanise.
I think it is normal, it is very hard to generate physically plausible results. First, accurately grounding the target object in a 3D scene is really challenging. Second, fine-grained 3D geometry awareness has not been well studied. Both two challenges make it hard to align the motion with the target interacting object. Let alone we solving this problem with a cVAE-based generative model in an end-to-end manner. We hope that the community can pay more attention to this field and push it forward.
from humanise.
Thanks for your reply. When will the Action-Agnostic Model be released?
Is the Action-Specific Model just overfit on one specific action and ignores the input text? Because whatever the text is, the model will generate the same action.
from humanise.
We will release that soon.
from humanise.
I have released the code for action-agnostic model just now. I will close this issue. If you have any other questions, just open a new issue.
from humanise.
Related Issues (17)
- The process of calculating the generation metrics is extremely slow HOT 1
- {scene_id}_vh_clean_2.ply doesn't have field of name label HOT 4
- Scan2Cad dataset annotations HOT 1
- Extract motion segments from AMASS with BABEL HOT 3
- ModuleNotFoundError: No module named 'pointops_cuda' HOT 4
- Visualization HOT 7
- Align motion for Scannet test split? HOT 2
- Auxiliary loss HOT 1
- Source code release? HOT 2
- ScanNet V2 dataset HOT 1
- Quantitative Evaluation HOT 1
- GPU resource in training HOT 1
- Code release for APD metric HOT 2
- How to render different view demo? HOT 8
- Please feel free to create issues if you have any questions! HOT 2
- Why the `shuffle ` is True when testing? HOT 1
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from humanise.