Open ghost opened 6 years ago
HI, its good to hear, it might help you. Please like our FB page and get the password there.
I have got it!Thank you very much!
I have liked the page of multi-exposure image fusion. Where can I find the password?
Thanks for it. It is shared in your FB message.
Thank you! By the way, does the multi-exposure image fusion project have corresponding reference paper?
It is implementation of this paper. The current code considers the local visibility from the paper only (not the temporal difference*).
*Though the code for that is also in the project, yet not used as paper left glitches in its description probably.
Thank you for sharing! The free thesis is a promising project in my opinion. Bless it with a bright future!
please leave your reviews on our FB page too or in our reviews section at https://free-thesis.com/product/image-fusion-using-deep-learning/
No problem!
Dear Abhishek I'm a postgraduate student from Yunnan University, China. I think the Multi-Exposed-Image-Fusion-using-Deep-Learning project is much helpful for my current work. However, this project can't be added to the cart and need the passward. Could you send me the project to the Email:xiaopengguo@mail.ynu.edu.cn?
Thank you very much!
xiaopengguo Yunnan University, China Email:xiaopengguo@mail.ynu.edu.cn