the code for "MIG-net: Multi-scale Network Alternatively Guided by Intensity and Gradient Features for Depth Map Super-resolution" The training data is provided by G. Riegler, D. Ferstl, M. R¨uther, and H. Bischof, “A deep primal-dual network for guided depth super-resolution,” in Proceedings of the British Machine Vision Conference (BMVC), 2016. The enviroment is python 2.7, tensorflow 1.10.
-
Notifications
You must be signed in to change notification settings - Fork 0
the code for "MIG-net: Multi-scale Network Alternatively Guided by Intensity and Gradient Features for Depth Map Super-resolution"
License
Yifan-Zuo/MIG-net-gradient_guided_depth_enhancement
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
the code for "MIG-net: Multi-scale Network Alternatively Guided by Intensity and Gradient Features for Depth Map Super-resolution"
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published