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

What is the better training policy for SuGaR? #14

Open
yuedajiong opened this issue Dec 14, 2023 · 1 comment
Open

What is the better training policy for SuGaR? #14

yuedajiong opened this issue Dec 14, 2023 · 1 comment

Comments

@yuedajiong
Copy link

  1. Train GS first, then joint optimization. (Although the position of GS points is not very good, it is generally oriented towards shape and surface.)
  2. Train GS and SuGaR regurlization item, joint optimization from begining. (I can not estimate the SuGaR item computing cost before code ready.) This way maybe faster maybe slower, maybe quality bettwer maybe worse。
  3. A better mixed scheduling policy.
@yuedajiong
Copy link
Author

@Anttwo
some ideas:

  1. we can compute some statistics data for opacity, and early-stop entropy loss computing for iteration from 7000 to 9000.

@yuedajiong yuedajiong mentioned this issue Jan 1, 2024
Open
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@yuedajiong