Comments (12)
Thanks for your quick response
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sorry, i can't share but you can see the issue: #10 (comment) or #10 (comment)
from enhanced_wav2lip.
sorry, i can't share but you can see the issue: #10 (comment)
Do the results in this issue have the same visual quality as your model? Or you have a way better result?
Why you can't btw?
from enhanced_wav2lip.
sorry because I left the organization, this is my commitment. This is nearly my result
from enhanced_wav2lip.
sorry because I left the organization, this is my commitment. This is nearly my result
Understood, thanks
Hm.. Result is not very impressive to be honest, much artefacts
Do you know any modern models for lip-sync or talking head generation?
I've tried FACIAL, but it's blinking quality and overall visual quality isn't very good
from enhanced_wav2lip.
you can contact the author wav2lip to see the result 288x192, this result is very good. But this implementation has a lot of limitation. because it just gets 5 frames and I saw it doesn't has any connection from the previous step to the next step. So I think you need to implement better model through LSTM or RNN or something can make connection
from enhanced_wav2lip.
you can contact the author wav2lip to see the result 288x192, this result is very good. But this implementation has a lot of limitation. because it just gets 5 frames and I saw it doesn't has any connection from the previous step to the next step. So I think you need to implement better model through LSTM or RNN or something can make connection
Their 288x192 result
Can't call it very good, especially for the price of 7500$
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Hello @NikitaKononov This video address cannot be accessed. Can you upload this video file? Thanks
from enhanced_wav2lip.
Hello @NikitaKononov This video address cannot be accessed. Can you upload this video file? Thanks
Sravan_Telugu_720p.mp4
from enhanced_wav2lip.
My method can get better result but I can take a lot of resources gpu
from enhanced_wav2lip.
My method can get better result but I can take a lot of resources gpu
Alot of resources while training? or while inference
will you shade your method?
from enhanced_wav2lip.
I mean this repo
from enhanced_wav2lip.
Related Issues (20)
- Hi sir, I am a beginner and I would like to inquire whether I should prepare a video of no less than 288 or a video of 384
- Find friends who are training models and share ideas with them.Welcome HOT 3
- Train syncnet use SyncNet_color_384 but train wav2lip use SyncNet_color? HOT 1
- When I use hq_wav2lip_sam_train.py。 HOT 3
- DINet implementation HOT 1
- video clips length
- train_syncnet_sam.py is not using GPU (RTX 4090) HOT 1
- What indicator represents the end of training hq_wav2lip_sam_train? HOT 4
- Why my train loss after introducing sync loss? HOT 4
- How to train HOT 6
- Why can’t training start? HOT 4
- do inference
- Generated bottom half face always blur. HOT 2
- Training failed. The lip shape of a character cannot change according to changes in speech HOT 6
- Syncnet loss does not converge HOT 22
- dataset
- DINet HOT 1
- 这个和普通的easyw字幕交换网站lip有什么区别
- Use HuBERT features to train SyncNet, the loss does not converge. HOT 2
- structure and arrangement of dataset before executing any scrip with flow of script execution!!!!!!
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