Comments (2)
Thanks.
from unifuse-unidirectional-fusion.
We use the same split of OmniDepth and BiFuse, which is obtained from the datasets.
from unifuse-unidirectional-fusion.
Related Issues (16)
- The quantitative results in the paper cannot be reproduced HOT 7
- A question about metrics.py HOT 2
- The problem about testing results using the 3D60 dataset HOT 1
- Multiple GPU bug HOT 3
- How to deal with Matterport3D images HOT 2
- How to deal with Stanford2d3d? HOT 1
- How to obtain GPU memeory of network?
- About Datasets
- train.py HOT 3
- Is there anything about Matterport Preprocessing HOT 6
- How to get the 3d60 train data set HOT 3
- PanoSUNCG HOT 2
- Pretrained Model
- About 'cube_inputs' for unifuse.py. HOT 2
- evaluate.py HOT 2
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