articulated-animation
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Does it work with cats?
Really important. Just asking for science.
The problem is that there are no dataset of cats, that could be used for training this staff. If there were at least 100 cat videos similar to one in voxceleb it will be worth to try. Without retraining it has no idea of how to open the cat mount and close cat eyes. 
https://user-images.githubusercontent.com/3857997/116883857-bd56fd80-ac2e-11eb-9363-7043edcf113b.mp4
I find this vital to the project.
The problem is that there are no dataset of cats, that could be used for training this staff. If there were at least 100 cat videos similar to one in voxceleb it will be worth to try. Without retraining it has no idea of how to open the cat mount and close cat eyes. 
04.mp4
Amazing work~ What could be the proper way to get fine results if we already have 100+ cats video in hand? Train from scratch or do some sort of fine tuning based on exsiting vox model?
Finetuning.
Finetuning.
Thanks. What if I need cat/dog talks like human, any suggestions? Will it do the trick by combining dog yelling videos and human talking videos as training data?
This could happen in principle. But need to be tested out.
File "/content/articulated-animation/logger.py", line 80, in load_cpk optimizer_reconstruction.load_state_dict(checkpoint['optimizer_reconstruction']) File "/usr/local/lib/python3.7/site-packages/torch/optim/optimizer.py", line 116, in load_state_dict raise ValueError("loaded state dict contains a parameter group " ValueError: loaded state dict contains a parameter group that doesn't match the size of optimizer's group
@AliaksandrSiarohin @hetaoaoao @franz101 @sergeytulyakov @RobertLowe , I am getting above error while fine - tuning please guide how to resolve the issue.