Comments (9)
Thank you for your interest in our work. We are now reorganizing our preprocessing code about Parametric Shape Alignment and will release soon.
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Hi there, we have released our code for Rendering & SMPL, check the readme for details! And for the parametric shape alignment, we just name it Transfer SMPL
in the instructions. Try on that!π
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Hi, itβs in our fork β4D-Humans/transfer_smpl.pyβ.And it need to run in 4D-Hunans conda environment , and would be better to βcdβ in the 4D-Humans directory and then dealing with these SMPL & Rendering thing.
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@OmerMachluf They have used parametric models to render normals, masks etc. It would be difficult to use parametric models directly for guidance; so they projected them to 2D images.
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@i-amgeek I think the question is how do they fit the parametric model to different body types. In the example_data all of the control renders are the same body type, but this image shows a different body type in the lower right corner?
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@OmerMachluf They have used parametric models to render normals, masks etc. It would be difficult to use parametric models directly for guidance; so they projected them to 2D images.
@i-amgeek appreciate your response. The question is about the fitting as @sam598 mentioned
The paper mentions fitting one smplx model into the driving video smplx model by displacing the pose from the driving video smplx and transferring it into the new model. I was wondering if there is any available code ref for that because it seems to be a vital step in order to reproduce the results mentioned in the paper for other ref/videos.
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@Leoooo333
Thanks! Appreciate your contributions to the community :)
I do see the update in the readme and the additional 4d humans submomdule, but I couldn't locate the transfer_smpl.py file that it's referencing in the git or in the last commit that updated the readme, maybe you forgot to attach that file to the commit? :)
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@OmerMachluf We have released the SMPL & Rending code. Git clone the updated Champ and have a try!
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Closing this issue. If any further questions, please reopen or create a new one.
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Related Issues (20)
- The inference code HOT 1
- memory usage
- FileNotFoundError: [Errno 2] No such file or directory:
- semantic map from SMPL
- Train & Test Data Split HOT 1
- basicModel_neutral_lbs_10_207_0_v1.0.0.pkl HOT 5
- Improving results with anime characters HOT 1
- Hardware and data requirements for model training. HOT 3
- How to avoid distortion of facial and hand features in generated videos HOT 2
- Free guidance: IndexError: The shape of the mask [0] at index 0 does not match the shape of the indexed tensor [1, 9216, 320] at index 0 HOT 2
- Organization of training data per the README causes errors HOT 6
- cuda out of memory HOT 2
- when i test my video, i have error HOT 3
- A problem about scaled_focal_length during motion datas producing HOT 1
- Transfer SMPL HOT 1
- [MISSING FILE] SMPL_NEUTRAL.pkl
- raise ValueError('Invalid device ID ({})'.format(device_id, len(devices))), ValueError: Invalid device ID (0) HOT 1
- High memory usage for inference HOT 1
- reference image HOT 2
- how can I get "--reference_path reference_imgs/smpl_results/your_ref_img_A.npy"? HOT 1
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