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.

Sign up for GitHub

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

Jump to bottom

Implement SVG #5

Open
SudeepDasari opened this issue Aug 12, 2019 · 0 comments
Open

Implement SVG #5

SudeepDasari opened this issue Aug 12, 2019 · 0 comments
Assignees
@s-tian @SudeepDasari

Comments

@SudeepDasari
Copy link
Owner

A stochastic model may help further increase video prediction performance. One promising option is Stochastic Video Generation (https://arxiv.org/pdf/1802.07687.pdf).

Our goals would be to:

  • implement the SVG loss/training scheme
  • try out various architectures and see which work best.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees

@s-tian s-tian

@SudeepDasari SudeepDasari

Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@s-tian @SudeepDasari