DMT
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Honlan
Disentangled Makeup Transfer with Generative Adversarial Network
The effect is so bad, and I am embarrassed to fake open source, please don't lose your face abroad!
The effect is so bad, and I am embarrassed to fake open source, please don't lose your face abroad! SB!
Hi, really good job. But, why reference and source image sizes have to be same?
An excellent job！I’m really interested in your experiment，Could you provide your project codes for public available？Thanks a lot!
hello, thanks for this wonderful work, when i implement this project, i find the generated result is not good, so can you share some training tips, thanks!
Hi，Honlan，i am appreciate it for your work,and i am trying to De-make up,How should i do it ?
Hello, Thank you very much for your research, it is very interesting. I would like to reproduce your research and reading the paper I though the code would be here,...
Hi, Thanks for the insightful research. I would like to reproduce your research but I cannot find the code? Please advise
This repo is lack of information. For example, it doesn't have any installation guide for users to run. There's no describing what packages to be install
Interesting work. Is DMT good for realtime processing in a phone? like many of those popular iphone apps doing similar things.
Hello, I tried the code on colab a few weeks ago (only changing a few lines for compatibility), and it worked perfectly fine. Now, it only outputs black images. The...
