Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

For arbitrary time t #16

Open
JHLew opened this issue May 19, 2022 · 0 comments
Open

For arbitrary time t #16

JHLew opened this issue May 19, 2022 · 0 comments

Comments

@JHLew
Copy link

JHLew commented May 19, 2022

Hi, thanks for your awesome work.

I have a question as an extension to Issue #8 .
I understand that the provided pretrained model can be used recursively to produce results for more moments than t=0.5.
However as far as I understood, according to the paper and your responses, it seems like the conclusion leads to: 'although the provided model is for predicting an intermediate frame t=0.5, it can be rebuilt for estimating frame at random t.'

I thus tried to reproduce your model for arbitrary time t based on your code and figured that it doesn't seem possible to be extended for arbitrary time.
Specifically, I doubt that Eq. 15 of the paper cannot hold for arbitrary time t.
The pixel intensity seems to be intended to sum to 1. The equation holds as long as t=0.5, but for example, when t=0.3, M_t1=0, M_t0=1, the pixel intensity becomes 1.4 .
I wanted to ask if there is anything that I misunderstood or got wrong...
Please, correct me if I am wrong.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant