Comments (3)
yuangan
commented on July 28, 2024
您好，感谢关注，我们的pretrain_new_274.pth.tar是通过微调这个开源的OSFV模型得到的。具体改进可以参考论文的Sec.3.1.1
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Mhq-we
commented on July 28, 2024
感谢回复！请问微调OSFV模型所用的数据是您过滤后的Voxceleb2嘛
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yuangan
commented on July 28, 2024
是的，用的数据是voxceleb2和mead
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Related Issues (20)
- RuntimeError: The size of tensor a (165) must match the size of tensor b (66) at non-singleton dimension 1 on my training dataset HOT 1
- AssertionError: Caught AssertionError in DataLoader worker process 0. HOT 2
- 关于训练收敛的问题 HOT 3
- How to edit with text and interpolate states as described in the paper? HOT 2
- Would it be complicated to add eyeblinking reference videos? HOT 1
- No discriminator in the state-dict. Dicriminator will be randomly initialized load optimizer_a2kp failed, train it from scratch HOT 5
- ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part. HOT 2
- Generated Video Background Is Not Static HOT 3
- Any way support for Chinese audio? HOT 3
- 3D Keypoint Enhancement Training HOT 2
- Details about CLIP fine-tuning and zero-shot text-guided editing HOT 11
- FileNotFoundError: Package has no location <module 'imageio_ffmpeg.binaries' (namespace)> HOT 2
- Inquiry Source Data Preparation HOT 2
- Error in saving .npy file HOT 2
- How to generate files for custom audio? HOT 4
- mead数据压缩问题 HOT 1
- Inquiry Regarding Preprocessing VOX2 and MEAD Dataset for Training HOT 8
- Fail to get output from demo.py HOT 2
- Can anyone share TED-Talk dataset？
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