yuliangguo/OmniFusion
[CVPR 2022 Oral] Official Pytorch Implementation of "OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion"
Jupyter NotebookMIT
Issues
- 1
Pretrained checkpoint
#13 opened by kimkj38 - 2
- 4
- 1
The evaluation results depend on batch size
#10 opened by apple2373 - 1
It should not be drop_last=True for testing.
#9 opened by apple2373 - 2
is it a common practice to ignore errors < 0.1?
#8 opened by apple2373 - 7
Size mismtach for pre-trained model
#3 opened by babar41 - 0
dataset_sem is missing
#6 opened by apple2373 - 8
Inference
#2 opened by pablodawson - 2
- 1
Reason for using Conv3d instead of Conv2d
#4 opened by MertCokelek - 0
Datasets
#1 opened by libetter0913