Comments (12)
The dataset will be available very soon. We just wait to get a permission for sharing. I will post here once the download links become available in the readme file.
from exposure_correction.
Hi @mahmoudnafifi
I'm a MSc student interested in your work. I'd like to replicate your results and compare different methods using the dataset you collected.
Can you estimate when the dataset is going to be released?
from exposure_correction.
Five months passed
from exposure_correction.
maybe,forever
from exposure_correction.
any updates?
from exposure_correction.
any updates?
from exposure_correction.
Hi @zakajd
Thanks for your interest. I know it takes a long time, but most likely it will be available by the end of this month.
from exposure_correction.
Thanks for the fast response!
I understand that publishing data requires lot's of approvals, just wanted to know the timeline 👍
from exposure_correction.
Hello, in your paper you mentioned the adobe camera raw SDK. I am trying to render the MIT5k dataset however Adobe APIs and services do not seem to have an SDK that goes by the name of Camera raw SDK in the list of APIs. maybe it comes under another name. Could your please point me toward the SDK you used? or provide the code or method used to render the raw files?
I found at camera raw plugin here, I dont know if it is the one you used.
Thank you
from exposure_correction.
from exposure_correction.
Looking forward to be working with the dataset!
from exposure_correction.
I just released the download links in the readme file.
from exposure_correction.
Related Issues (20)
- when will you plan to release your code? It's been a long time. HOT 1
- when will you plan to release your code? i want to run it HOT 1
- How do you resize images for evaluation and testing ? HOT 1
- Implementation of Bilateral Guided Upsampling HOT 3
- Congratulations for the excellent work. I'm waiting the release of the source code! HOT 1
- [Code Release requested] Looking forward to the code HOT 2
- [Feature Requested] Will a PyTorch version of the code be available? HOT 1
- Is there any solution to train with resolutions [64, 128, 256] if only those images of 512px are available HOT 5
- It seemed tiny differences before and after correction using my own retrained model HOT 3
- evaluation code
- Pyramid loss HOT 1
- python HOT 2
- about datasets HOT 1
- implementation in Python HOT 4
- Training code HOT 3
- Loss curve HOT 2
- GUI Scale
- Dataset link invalid HOT 1
- Metal exposure
- Code for rendering dataset
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