xuebinqin / U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Apache License 2.0
8.67k stars 1.5k forks source link

Super-Resolution & Virtual-Try-On #175

Open Adeel-Intizar opened 3 years ago

Adeel-Intizar commented 3 years ago

Hello, Thank you for your great work This U2Net is Excellent and can be extended to some other applications of Computer Vision like Super Resolution and Virtual Try On, If you find these applications useful, train U2Net for those as well

xuebinqin commented 3 years ago

Hi, Adeel, thanks for your suggestions. Super resolution and virtual try on are good applications. We are currently focusing on improving the segmentation accuracy while reducing the computation costs for higher resolution inputs. Super resolution may be our next independent or side project of the segmentation project. Virtuall Try On is a very useful application. Unfortunately, we don't have much resources on that because there are lot of engineering issues other than theoretic issues to handle. If you have any ideas or suggestions, please let us know and we can talk about that to see if we are able to collaborate.

Regards, Xuebin

On Thu, Mar 11, 2021 at 6:46 PM Adeel @.***> wrote:

Hello, Thank you for your great work This U2Net is Excellent and can be extended to some other applications of Computer Vision like Super Resolution and Virtual Try On, If you find these applications useful, train U2Net for those as well

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/xuebinqin/U-2-Net/issues/175, or unsubscribe https://github.com/notifications/unsubscribe-auth/ADSGORMTEEAEE6NLBZVQWKTTDCNPTANCNFSM4ZAA6NKQ .

-- Xuebin Qin PhD Department of Computing Science University of Alberta, Edmonton, AB, Canada Homepage:https://webdocs.cs.ualberta.ca/~xuebin/

Adeel-Intizar commented 3 years ago

For Image Super Resolution, Holopix50k dataset can be used which is quite large, you can check it here: github.com/LeiaInc/holopix50k/