Comments (3)
Thank you for your attention.
In my opinion, this is one limitation of EAT. When using RePos-Net to generate talking heads and backgrounds, controlling only the head with latent key-points proves challenging. Here are some potential solutions to address this issue:
- Use a segmentation network, like ModNet, to isolate the talking head and then integrate it with the background.
- Fine-tune the OSFV network to ensure that the latent keypoints influence only the head. This may seem difficult but has been shown in Nvidia's demo.
- Create the talking head without the background and combine them afterward.
- Incorporate emotional expressions into other projects, such as Real3DPortrait and so on. They generate the head and background separately.
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Thank you for your attention.
In my opinion, this is one limitation of EAT. When using RePos-Net to generate talking heads and backgrounds, controlling only the head with latent key-points proves challenging. Here are some potential solutions to address this issue:
- Use a segmentation network, like ModNet, to isolate the talking head and then integrate it with the background.
- Fine-tune the OSFV network to ensure that the latent keypoints influence only the head. This may seem difficult but has been shown in Nvidia's demo.
- Create the talking head without the background and combine them afterward.
- Incorporate emotional expressions into other projects, such as Real3DPortrait and so on. They generate the head and background separately.
Thank you for your prompt response. I will try out the suggestions you provided.
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Good Luck~
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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
- 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
- 关于预训练使用的权重 HOT 3
- 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
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