You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thanks for your interest! Note that even with our implementation of LightDepth, there are some differences described in appendix F of our paper. Unfortunately the authors have not, and as far as I know will not, release the code publicly.
The current plan is, depending on final feedback from a conference submission, we will release our full training implementation not only for our approach, PPSNet, but approaches that we compare against such as LightDepth. We will also release pre-trained models for those other baselines at that time. It is a non-trivial effort to organize and release those codes, and additionally we want to make sure this work is accepted at a conference before open-sourcing all of our hard work for free. Please keep an eye on this repo in the meantime, I'm hoping I can do the above release sometime in mid-to-late July or so based on the current feedback timelines.
Note that our contribution, PPSNet, already has publicly available model files, loss functions, and pre-trained models available in this repo. Please let me know if you have any trouble using any of those components, I'm happy to try and help as much as I can even before some of the aforementioned, planned updates to this repo.
It's a wonderful job. Thanks for your work!
You mentioned you implemented LightDepth on your own in your paper.
Can you release your implementation?
Thanks!
Have a nice day!
The text was updated successfully, but these errors were encountered: