Comments (1)
sjmoran
commented on August 21, 2024
Hi, thank you for your interest in our work. Unfortunately we do not have access to the original zip and dataset splits (we have searched over the past week to see if we could help here). For the supervised training and evaluation, it could be that the first 2250 images are the training dataset (in numeric order as you see on the Adobe5K website, left column: https://data.csail.mit.edu/graphics/fivek/), with the last 500 as the test set i.e. images 4500-5000 are the test dataset. However, best confirm this fact by reaching out to the DPE authors. We used the identical splits from their publication.
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Related Issues (16)
- Could you release the pre-trained model for testing SID dataset (fuji camera)? Thanks HOT 1
- Wrong loss function in paper/poster? HOT 2
- Varying input image size HOT 1
- Input to filter blocks HOT 1
- RuntimeError: Given groups=1, weight of size [16, 3, 3, 3], expected input[1, 4, 345, 514] to have 3 channels, but got 4 channels instead HOT 2
- data.py only have 248 lines HOT 3
- Training giving strange results HOT 2
- hello, I am very interested in your work. Could you upload your supplementary material or your codes HOT 3
- higher batch sizes HOT 1
- Adobe-UPE dataset HOT 1
- Could you release your pre-trained model? HOT 1
- Poor performance on MIT Adobe Fivek datasets HOT 6
- about the traning dataset HOT 1
- Issue in data.py HOT 2
- Test on custom dataset HOT 1
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