Comments (4)
Due to the lack of an official open-source implementation, we get the results from an unofficial implementation: Moore-AnimateAnyone as noted in paper.
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@notorious-eric We did not use their training code, we only use their official code and checkpoints for inference.
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maybe from qianwen app?
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Hi, what about Magic-Animate code? they do not release training code either.
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Related Issues (20)
- Questions about smpl_rendering.blend HOT 3
- KeyError: 'scaled_focal_length is not a file in the archive' in 4.Transfer SMPL step HOT 3
- 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 4
- 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 3
- 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 2
- [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
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