Comments (2)
The main contribution of our paper is to propose a network for enhancing underexposed photos by estimating an image-to-illumination mapping, and design a new loss function based on various illumination constraints and priors. Our network structure bilateral grid upsampling module design is inspired by HDNet.
Thanks.
from deepupe.
数据集在哪里呢?
from deepupe.
Related Issues (20)
- realease of dataset HOT 2
- 关于test数据集?
- Color Loss
- Tensorflow only use CPU version, so how should i modify the makefile? HOT 1
- I got an error when i run the run.py HOT 1
- Does not work HOT 1
- Installation Guide HOT 6
- Another reconstruction loss? HOT 1
- No op named BilateralSliceApply in defined operations. HOT 1
- 只能在Linux下运行么?(does it run on Linux? )
- Fatal error: third_party/array/array.h: No such file or directory HOT 3
- Would you please release the training code and the dataset?
- Could you please release the training code and the dataset?
- Can i get access to training code HOT 2
- brightness adjustment
- brightness adjust
- The download link for the test data is unaccessible
- 测试数据集链接
- make
- Where can find the color loss?
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from deepupe.