issues
search
zhanglonghao1992
/
One-Shot_Free-View_Neural_Talking_Head_Synthesis
Pytorch implementation of paper "One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing"
Other
764
stars
143
forks
source link
Few Questions on implementations
#21
Open
vinayak015
opened
2 years ago
vinayak015
commented
2 years ago
Pardon me for so many questions, but here it goes:
Did you try generator with weight 0 (i.e without adversial loss) or with LSGAN?
Did you try generator with spectral norm (mentioned in One-shot paper)
Did you try separating features from the generator, because at test time it is being calculated for every frame.
Did you used the weights for VGG19. Also, in FOMM they have used different VGG layers and in One shot they have used different?
Did you try 2D motion field with 2D features?
Were you able to make video conferencing part working? As I am working on that part too
Did you use dataset other than voxceleb?: I suspect one-shot got better result because they used huge dataset for training.
Pardon me for so many questions, but here it goes: