Comments (3)
hi,do you find the regression network ,the same image envalation model ,but output is different.as where, the first cov2 of network output is yet different!
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We start with the Ground Truth, then turn to the predicted results.
from emlight.
We start with the Ground Truth, then turn to the predicted results.
Thanks for your reply. Thank you.
from emlight.
Related Issues (20)
- How to balance the size of the input image? HOT 7
- How to evaluate on the Virtual Object Relighting (VOR) dataset HOT 2
- How to make the luminance of HDR datasets in the same scale? HOT 2
- How to reconstruct the environment map with needlets coefficients?
- explanatory video about the paper
- Some error when I run distribution_representation.py HOT 5
- Why delete the sigmoid in the output layers? HOT 3
- Question about the train/test split HOT 2
- evaluation metrix HOT 2
- depth information HOT 3
- How to reconstruct environment map? HOT 3
- Why tone Fov image ? HOT 1
- Generator network weights
- about supplementary file & daatset file structure HOT 4
- how to render the three different material sphere with the hdr lighting HOT 1
- Running inference only? HOT 1
- three spheres with different materials
- Generate the Gaussian map from the lighting distribution, intensity, and ambient HOT 1
- why divide intensity by 500 in data.py?
- Question about Sparse Needles (ICCV 2021).
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